diff --git a/core-text-cls-data-scientist-salary/10k/fold_0/README.md b/core-text-cls-data-scientist-salary/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_0/adapter_config.json b/core-text-cls-data-scientist-salary/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c8e26ca27c73a04887e32e1e24d8ca00509a4054
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_0/meta.json b/core-text-cls-data-scientist-salary/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa374f1b1fd6e3e491f22ef825642615d195cb2b
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_0/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_DATA_SCIENTIST_SALARY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.492464303970337,
+  "epochs": 21.0,
+  "n_rows": 15000,
+  "n_inputs": 29490,
+  "n_columns": 6,
+  "features": [
+    "experience",
+    "job_description",
+    "job_desig",
+    "key_skills",
+    "location"
+  ],
+  "finetune_seconds": 1418.8592008799997,
+  "encode_seconds": {
+    "experience": 0.0321362170006978,
+    "job_description": 1.8898558529999718,
+    "job_desig": 2.3539329989998805,
+    "key_skills": 2.6641761460005,
+    "location": 0.32016289700004563
+  },
+  "total_seconds": 1426.1194649920008,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:30:37",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_1/README.md b/core-text-cls-data-scientist-salary/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_1/adapter_config.json b/core-text-cls-data-scientist-salary/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c7d5d5a8597040570b229fecdd0985f851aca9db
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_1/meta.json b/core-text-cls-data-scientist-salary/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..087e86ba15199fc85d189a4bbd4f94316ef9d7a5
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_1/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_DATA_SCIENTIST_SALARY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.5215051174163818,
+  "epochs": 17.0,
+  "n_rows": 15000,
+  "n_inputs": 29485,
+  "n_columns": 6,
+  "features": [
+    "experience",
+    "job_description",
+    "job_desig",
+    "key_skills",
+    "location"
+  ],
+  "finetune_seconds": 1148.4518720370006,
+  "encode_seconds": {
+    "experience": 0.03463212999940879,
+    "job_description": 1.942359622999902,
+    "job_desig": 2.395561735999763,
+    "key_skills": 2.6648438450001777,
+    "location": 0.33051873499971407
+  },
+  "total_seconds": 1155.8197881059996,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:50:08",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_2/README.md b/core-text-cls-data-scientist-salary/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_2/adapter_config.json b/core-text-cls-data-scientist-salary/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..814b9636ceca559cf2c209930e994e07b73dad10
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_2/meta.json b/core-text-cls-data-scientist-salary/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..816ef663398995f81715f51d67f27511e756ab1b
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_2/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_DATA_SCIENTIST_SALARY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.5151019096374512,
+  "epochs": 17.0,
+  "n_rows": 15000,
+  "n_inputs": 29428,
+  "n_columns": 6,
+  "features": [
+    "experience",
+    "job_description",
+    "job_desig",
+    "key_skills",
+    "location"
+  ],
+  "finetune_seconds": 1148.5763146979998,
+  "encode_seconds": {
+    "experience": 0.03286424399993848,
+    "job_description": 1.902829888999804,
+    "job_desig": 2.339536293000492,
+    "key_skills": 2.639582072999474,
+    "location": 0.32504501799940044
+  },
+  "total_seconds": 1155.816172214999,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:09:39",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_3/README.md b/core-text-cls-data-scientist-salary/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_3/adapter_config.json b/core-text-cls-data-scientist-salary/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6285aa2cada1931858a51767633c68ac57c3ed47
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_3/meta.json b/core-text-cls-data-scientist-salary/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..8c177cdf0b86550835fc666568331187e8001111
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_3/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_DATA_SCIENTIST_SALARY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.4985325336456299,
+  "epochs": 27.0,
+  "n_rows": 15000,
+  "n_inputs": 29510,
+  "n_columns": 6,
+  "features": [
+    "experience",
+    "job_description",
+    "job_desig",
+    "key_skills",
+    "location"
+  ],
+  "finetune_seconds": 1823.586081870999,
+  "encode_seconds": {
+    "experience": 0.032067821999589796,
+    "job_description": 1.9071785629985243,
+    "job_desig": 2.363451974999407,
+    "key_skills": 2.6528028009997797,
+    "location": 0.3225891399997636
+  },
+  "total_seconds": 1830.864172171996,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:40:25",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_4/README.md b/core-text-cls-data-scientist-salary/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_4/adapter_config.json b/core-text-cls-data-scientist-salary/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..79d5761d869757abfceaf9318739f54ba5607092
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_4/meta.json b/core-text-cls-data-scientist-salary/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..f853dfafcb5794d0b808b3461d2c3efee5d1df43
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_4/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_DATA_SCIENTIST_SALARY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.5296956300735474,
+  "epochs": 16.0,
+  "n_rows": 15000,
+  "n_inputs": 29500,
+  "n_columns": 6,
+  "features": [
+    "experience",
+    "job_description",
+    "job_desig",
+    "key_skills",
+    "location"
+  ],
+  "finetune_seconds": 1081.6374399289998,
+  "encode_seconds": {
+    "experience": 0.03316083099889511,
+    "job_description": 1.9125347449989931,
+    "job_desig": 2.3436468609997974,
+    "key_skills": 2.6532524230005947,
+    "location": 0.33025668499976746
+  },
+  "total_seconds": 1088.9102914739979,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:58:49",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_5/README.md b/core-text-cls-data-scientist-salary/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_5/adapter_config.json b/core-text-cls-data-scientist-salary/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a6ee087d80b61c14dd7ef19902b264fd8044d161
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-data-scientist-salary/10k/fold_5/meta.json b/core-text-cls-data-scientist-salary/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7ad8cda8cf8b7daa6ee7b1fb68ad2586e567d675
--- /dev/null
+++ b/core-text-cls-data-scientist-salary/10k/fold_5/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_DATA_SCIENTIST_SALARY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.5270895957946777,
+  "epochs": 16.0,
+  "n_rows": 15000,
+  "n_inputs": 29446,
+  "n_columns": 6,
+  "features": [
+    "experience",
+    "job_description",
+    "job_desig",
+    "key_skills",
+    "location"
+  ],
+  "finetune_seconds": 1082.0390864689998,
+  "encode_seconds": {
+    "experience": 0.032966017999569885,
+    "job_description": 1.8922360920005303,
+    "job_desig": 2.331617001000268,
+    "key_skills": 2.6418826850003825,
+    "location": 0.3338915429994813
+  },
+  "total_seconds": 1089.271679808,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 11:17:13",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_0/README.md b/core-text-cls-jigsaw-toxicity/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_0/adapter_config.json b/core-text-cls-jigsaw-toxicity/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b5d22e8656724631222386e965a618e3cdc75f41
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_0/meta.json b/core-text-cls-jigsaw-toxicity/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..a718f3f2c75f81d8fab0e4473cf62ea702e2941d
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_0/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "BIN_TEXT_JIGSAW_TOXICITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.12114106118679047,
+  "epochs": 20.0,
+  "n_rows": 15000,
+  "n_inputs": 14989,
+  "n_columns": 31,
+  "features": [
+    "comment_text"
+  ],
+  "finetune_seconds": 285.2273222859999,
+  "encode_seconds": {
+    "comment_text": 9.122020795000026
+  },
+  "total_seconds": 294.3493430809999,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 08:42:25",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_1/README.md b/core-text-cls-jigsaw-toxicity/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_1/adapter_config.json b/core-text-cls-jigsaw-toxicity/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a59f4d8924ffce4735506c148596f051b1253f9
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_1/meta.json b/core-text-cls-jigsaw-toxicity/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..34c1d6ae73946feb6e24cc11c39502395f96d280
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_1/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "BIN_TEXT_JIGSAW_TOXICITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.12573519349098206,
+  "epochs": 14.0,
+  "n_rows": 15000,
+  "n_inputs": 14976,
+  "n_columns": 31,
+  "features": [
+    "comment_text"
+  ],
+  "finetune_seconds": 199.160178224,
+  "encode_seconds": {
+    "comment_text": 8.988780903000134
+  },
+  "total_seconds": 208.14895912700013,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 08:46:07",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_2/README.md b/core-text-cls-jigsaw-toxicity/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_2/adapter_config.json b/core-text-cls-jigsaw-toxicity/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..12a1bdcb0ed19e4c8def4587b275e2d23f0aeb6c
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_2/meta.json b/core-text-cls-jigsaw-toxicity/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d5f6e8cdf585a8c667c51379b1856d4fa34b68e
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_2/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "BIN_TEXT_JIGSAW_TOXICITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.11818765103816986,
+  "epochs": 18.0,
+  "n_rows": 15000,
+  "n_inputs": 14992,
+  "n_columns": 31,
+  "features": [
+    "comment_text"
+  ],
+  "finetune_seconds": 256.04765517299984,
+  "encode_seconds": {
+    "comment_text": 9.176779805000024
+  },
+  "total_seconds": 265.22443497799986,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 08:50:47",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_3/README.md b/core-text-cls-jigsaw-toxicity/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_3/adapter_config.json b/core-text-cls-jigsaw-toxicity/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..f0aad0be6c788663a3b99d962b2f3ad5d50f609e
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_3/meta.json b/core-text-cls-jigsaw-toxicity/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..92168c2133629b69e1b89c1a7ac8dffe516a3558
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_3/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "BIN_TEXT_JIGSAW_TOXICITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.10837697237730026,
+  "epochs": 16.0,
+  "n_rows": 15000,
+  "n_inputs": 14982,
+  "n_columns": 31,
+  "features": [
+    "comment_text"
+  ],
+  "finetune_seconds": 227.81700828099974,
+  "encode_seconds": {
+    "comment_text": 9.053686779000145
+  },
+  "total_seconds": 236.8706950599999,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 08:54:58",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_4/README.md b/core-text-cls-jigsaw-toxicity/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_4/adapter_config.json b/core-text-cls-jigsaw-toxicity/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a80cbc2b0dd9a545182fd53220a02e57df0c584c
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_4/meta.json b/core-text-cls-jigsaw-toxicity/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..c984cadd646c63c8f6dda501cb1875b2acd94144
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_4/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "BIN_TEXT_JIGSAW_TOXICITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.11817831546068192,
+  "epochs": 16.0,
+  "n_rows": 15000,
+  "n_inputs": 14989,
+  "n_columns": 31,
+  "features": [
+    "comment_text"
+  ],
+  "finetune_seconds": 227.88917803899994,
+  "encode_seconds": {
+    "comment_text": 9.104562911999892
+  },
+  "total_seconds": 236.99374095099984,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 08:59:10",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_5/README.md b/core-text-cls-jigsaw-toxicity/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_5/adapter_config.json b/core-text-cls-jigsaw-toxicity/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0e4cd888c3b603725ed5bcdd57917d4d7532a86
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-jigsaw-toxicity/10k/fold_5/meta.json b/core-text-cls-jigsaw-toxicity/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb4371ca28e376e0dbf1ee9cc602efaa13d7067d
--- /dev/null
+++ b/core-text-cls-jigsaw-toxicity/10k/fold_5/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "BIN_TEXT_JIGSAW_TOXICITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.1350056231021881,
+  "epochs": 13.0,
+  "n_rows": 15000,
+  "n_inputs": 14989,
+  "n_columns": 31,
+  "features": [
+    "comment_text"
+  ],
+  "finetune_seconds": 184.9347590110001,
+  "encode_seconds": {
+    "comment_text": 9.13287537899987
+  },
+  "total_seconds": 194.06763438999997,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:02:38",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_0/README.md b/core-text-cls-spotify-genres/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_0/adapter_config.json b/core-text-cls-spotify-genres/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6be1d13d504927c18bf0df1ebe36857a971c365f
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_0/meta.json b/core-text-cls-spotify-genres/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..f59048d872cc400626f7144e5f266632e9e847a5
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_0/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "MUL_TEXT_SPOTIFY_GENRES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 3.6384694576263428,
+  "epochs": 50.0,
+  "n_rows": 15000,
+  "n_inputs": 32865,
+  "n_columns": 18,
+  "features": [
+    "album_name",
+    "artists",
+    "track_name"
+  ],
+  "finetune_seconds": 2041.0610729730006,
+  "encode_seconds": {
+    "album_name": 2.4566243509998458,
+    "artists": 1.9671957470000052,
+    "track_name": 3.0257431090003593
+  },
+  "total_seconds": 2048.510636180001,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:43:57",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_1/README.md b/core-text-cls-spotify-genres/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_1/adapter_config.json b/core-text-cls-spotify-genres/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..65c9b3b0d8dbf1f58466a3d698ba17796ccb1294
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_1/meta.json b/core-text-cls-spotify-genres/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..86f391d87549f3fb3beb24550ce802afe4dba08a
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_1/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "MUL_TEXT_SPOTIFY_GENRES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 3.672360897064209,
+  "epochs": 50.0,
+  "n_rows": 15000,
+  "n_inputs": 32702,
+  "n_columns": 18,
+  "features": [
+    "album_name",
+    "artists",
+    "track_name"
+  ],
+  "finetune_seconds": 2041.1433059500005,
+  "encode_seconds": {
+    "album_name": 2.4256007139993017,
+    "artists": 1.9547137520003162,
+    "track_name": 2.963067697999577
+  },
+  "total_seconds": 2048.4866881139997,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 11:18:20",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_2/README.md b/core-text-cls-spotify-genres/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_2/adapter_config.json b/core-text-cls-spotify-genres/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..31848bab6b1be9a5275d5e1f2980b02f38e04c57
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_2/meta.json b/core-text-cls-spotify-genres/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..54ab4ca93af34bdd5301742e1e48a0d26afb91c8
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_2/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "MUL_TEXT_SPOTIFY_GENRES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 3.653848886489868,
+  "epochs": 45.0,
+  "n_rows": 15000,
+  "n_inputs": 32934,
+  "n_columns": 18,
+  "features": [
+    "album_name",
+    "artists",
+    "track_name"
+  ],
+  "finetune_seconds": 1837.255926621001,
+  "encode_seconds": {
+    "album_name": 2.438699689000714,
+    "artists": 2.005515582000953,
+    "track_name": 2.9774902110002586
+  },
+  "total_seconds": 1844.677632103003,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 11:49:20",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_3/README.md b/core-text-cls-spotify-genres/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_3/adapter_config.json b/core-text-cls-spotify-genres/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..016baa4f917896bc329b0691357fefc26c22822d
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_3/meta.json b/core-text-cls-spotify-genres/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..3d1239255e9b736f638bbde12e1f1205c6c6bc25
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_3/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "MUL_TEXT_SPOTIFY_GENRES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 3.601576089859009,
+  "epochs": 50.0,
+  "n_rows": 15000,
+  "n_inputs": 32658,
+  "n_columns": 18,
+  "features": [
+    "album_name",
+    "artists",
+    "track_name"
+  ],
+  "finetune_seconds": 2041.3078559779988,
+  "encode_seconds": {
+    "album_name": 2.4263571809988207,
+    "artists": 1.992828386999463,
+    "track_name": 2.951474859000882
+  },
+  "total_seconds": 2048.678516404998,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:23:44",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_4/README.md b/core-text-cls-spotify-genres/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_4/adapter_config.json b/core-text-cls-spotify-genres/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..46cce8c3e97e3411523921fcbfd1a9b06b9ec669
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_4/meta.json b/core-text-cls-spotify-genres/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa64f463b25999c2edb43675452b18e4c789bdde
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_4/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "MUL_TEXT_SPOTIFY_GENRES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 3.57482647895813,
+  "epochs": 50.0,
+  "n_rows": 15000,
+  "n_inputs": 32617,
+  "n_columns": 18,
+  "features": [
+    "album_name",
+    "artists",
+    "track_name"
+  ],
+  "finetune_seconds": 2042.0282174050008,
+  "encode_seconds": {
+    "album_name": 2.4061948279995704,
+    "artists": 1.9490394699987519,
+    "track_name": 2.936069565001162
+  },
+  "total_seconds": 2049.3195212680002,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:58:08",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_5/README.md b/core-text-cls-spotify-genres/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_5/adapter_config.json b/core-text-cls-spotify-genres/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c2992ec69d3aec2a3bf1948a47eb211681f13006
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-spotify-genres/10k/fold_5/meta.json b/core-text-cls-spotify-genres/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..757c3ea9b4a899bed1b01b93ab5d8993f843cbac
--- /dev/null
+++ b/core-text-cls-spotify-genres/10k/fold_5/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "MUL_TEXT_SPOTIFY_GENRES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 3.6303958892822266,
+  "epochs": 50.0,
+  "n_rows": 15000,
+  "n_inputs": 32769,
+  "n_columns": 18,
+  "features": [
+    "album_name",
+    "artists",
+    "track_name"
+  ],
+  "finetune_seconds": 2042.1217666370012,
+  "encode_seconds": {
+    "album_name": 2.4663594369994826,
+    "artists": 1.9326278119988274,
+    "track_name": 2.9368187190011668
+  },
+  "total_seconds": 2049.4575726050007,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:32:32",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_0/README.md b/core-text-reg-book-readability/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_0/adapter_config.json b/core-text-reg-book-readability/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2303a80a0f3fcaae46dc31be4117a169582a71cf
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_0/meta.json b/core-text-reg-book-readability/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b0da520264c1a675fcb05651d874c9c04b17e7b
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_0/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "REG_TEXT_BOOK_READABILITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 3149,
+  "n_test": 1575,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.6632659435272217,
+  "epochs": 22.0,
+  "n_rows": 4724,
+  "n_inputs": 16020,
+  "n_columns": 30,
+  "features": [
+    "Anthology",
+    "Author",
+    "British Words",
+    "Excerpt",
+    "Title",
+    "URL"
+  ],
+  "finetune_seconds": 574.6390389380012,
+  "encode_seconds": {
+    "Anthology": 0.08178254300037224,
+    "Author": 0.5735208830010379,
+    "British Words": 0.05992690200037032,
+    "Excerpt": 3.608685590999812,
+    "Title": 1.0655619119988842,
+    "URL": 0.906118934000915
+  },
+  "total_seconds": 580.9346357030026,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:18:25",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_1/README.md b/core-text-reg-book-readability/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_1/adapter_config.json b/core-text-reg-book-readability/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf22ba051e28eb3bf2d3b96533ad4bb167a90e7c
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_1/meta.json b/core-text-reg-book-readability/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..b452cf65ceabdb6a27d38917371f079b77be3c2d
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_1/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "REG_TEXT_BOOK_READABILITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 3149,
+  "n_test": 1575,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.715406656265259,
+  "epochs": 26.0,
+  "n_rows": 4724,
+  "n_inputs": 16020,
+  "n_columns": 30,
+  "features": [
+    "Anthology",
+    "Author",
+    "British Words",
+    "Excerpt",
+    "Title",
+    "URL"
+  ],
+  "finetune_seconds": 678.7473508380008,
+  "encode_seconds": {
+    "Anthology": 0.08127425999919069,
+    "Author": 0.5858922710012848,
+    "British Words": 0.06078616099875944,
+    "Excerpt": 3.598221266998735,
+    "Title": 1.0967185999998037,
+    "URL": 0.9319249199998012
+  },
+  "total_seconds": 685.1021683169984,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:30:04",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_2/README.md b/core-text-reg-book-readability/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_2/adapter_config.json b/core-text-reg-book-readability/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8403aabfe6ab647bfcb82153de59ff0baee96144
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_2/meta.json b/core-text-reg-book-readability/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7c44bd8f949b4087a7fe87837a7eb68b6d4189b
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_2/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "REG_TEXT_BOOK_READABILITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 3150,
+  "n_test": 1574,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.7189080715179443,
+  "epochs": 25.0,
+  "n_rows": 4724,
+  "n_inputs": 16020,
+  "n_columns": 30,
+  "features": [
+    "Anthology",
+    "Author",
+    "British Words",
+    "Excerpt",
+    "Title",
+    "URL"
+  ],
+  "finetune_seconds": 653.0604675240011,
+  "encode_seconds": {
+    "Anthology": 0.08347005099858507,
+    "Author": 0.5869530649997614,
+    "British Words": 0.05887408800117555,
+    "Excerpt": 3.5875946220003243,
+    "Title": 1.0610006229999271,
+    "URL": 0.9092944379990513
+  },
+  "total_seconds": 659.3476544109999,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:41:18",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_3/README.md b/core-text-reg-book-readability/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_3/adapter_config.json b/core-text-reg-book-readability/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9719f6d898c0d9f4c4dc04a00310a420a28c456a
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_3/meta.json b/core-text-reg-book-readability/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..df7b15aee00d48d018df76541359cddd262270b6
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_3/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "REG_TEXT_BOOK_READABILITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 3149,
+  "n_test": 1575,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.6694583892822266,
+  "epochs": 38.0,
+  "n_rows": 4724,
+  "n_inputs": 16020,
+  "n_columns": 30,
+  "features": [
+    "Anthology",
+    "Author",
+    "British Words",
+    "Excerpt",
+    "Title",
+    "URL"
+  ],
+  "finetune_seconds": 992.2235382489998,
+  "encode_seconds": {
+    "Anthology": 0.08275471999877482,
+    "Author": 0.5898809469999833,
+    "British Words": 0.0596989340010623,
+    "Excerpt": 3.6082809230010753,
+    "Title": 1.098192203000508,
+    "URL": 0.9333214210000733
+  },
+  "total_seconds": 998.5956673970013,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:58:11",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_4/README.md b/core-text-reg-book-readability/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_4/adapter_config.json b/core-text-reg-book-readability/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5b28226dc9553738db9c2103ffee2b0bdecea78a
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_4/meta.json b/core-text-reg-book-readability/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d64f64c0494a3c42b5502c4aeb831b2be8c023a
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_4/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "REG_TEXT_BOOK_READABILITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 3149,
+  "n_test": 1575,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.666486978530884,
+  "epochs": 33.0,
+  "n_rows": 4724,
+  "n_inputs": 16020,
+  "n_columns": 30,
+  "features": [
+    "Anthology",
+    "Author",
+    "British Words",
+    "Excerpt",
+    "Title",
+    "URL"
+  ],
+  "finetune_seconds": 861.5295055679999,
+  "encode_seconds": {
+    "Anthology": 0.08228029800011427,
+    "Author": 0.5808380960006616,
+    "British Words": 0.059050432000731234,
+    "Excerpt": 3.6193488070002786,
+    "Title": 1.081001403999835,
+    "URL": 0.9240109789989219
+  },
+  "total_seconds": 867.8760355840004,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:12:54",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_5/README.md b/core-text-reg-book-readability/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_5/adapter_config.json b/core-text-reg-book-readability/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a0d908f38d73e6971661591d4146bb350d734f1
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-book-readability/10k/fold_5/meta.json b/core-text-reg-book-readability/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..45e0ffee0eca1c3a671fa26627ef32d139c18dc6
--- /dev/null
+++ b/core-text-reg-book-readability/10k/fold_5/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "REG_TEXT_BOOK_READABILITY",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 3150,
+  "n_test": 1574,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.663274049758911,
+  "epochs": 27.0,
+  "n_rows": 4724,
+  "n_inputs": 16020,
+  "n_columns": 30,
+  "features": [
+    "Anthology",
+    "Author",
+    "British Words",
+    "Excerpt",
+    "Title",
+    "URL"
+  ],
+  "finetune_seconds": 704.9700019549982,
+  "encode_seconds": {
+    "Anthology": 0.08215274100075476,
+    "Author": 0.5770744039982674,
+    "British Words": 0.06022726000082912,
+    "Excerpt": 3.6263464209987433,
+    "Title": 1.0685956429988437,
+    "URL": 0.9124327070021536
+  },
+  "total_seconds": 711.2968311309978,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:24:59",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_0/README.md b/core-text-reg-vancouver-salaries/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_0/adapter_config.json b/core-text-reg-vancouver-salaries/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..25d81e901258de82dc4393adc2fe1520964bb03a
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_0/meta.json b/core-text-reg-vancouver-salaries/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..b59b21adfbe50db6741dbfee0b0d692ddea4f3dd
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_0/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VANCOUVER_SALARIES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8075101375579834,
+  "epochs": 29.0,
+  "n_rows": 15000,
+  "n_inputs": 7792,
+  "n_columns": 5,
+  "features": [
+    "name",
+    "title"
+  ],
+  "finetune_seconds": 799.1653176910004,
+  "encode_seconds": {
+    "name": 1.3014696540012665,
+    "title": 0.4430912409989105
+  },
+  "total_seconds": 800.9098785860006,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:22:11",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_1/README.md b/core-text-reg-vancouver-salaries/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_1/adapter_config.json b/core-text-reg-vancouver-salaries/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1fd0e05804aca9e7461cdb4c10faa48dc99fbc01
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_1/meta.json b/core-text-reg-vancouver-salaries/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..a57b49d4e7cbfd0e2e1725222a9a8552ba0db16d
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_1/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VANCOUVER_SALARIES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8160057067871094,
+  "epochs": 33.0,
+  "n_rows": 15000,
+  "n_inputs": 7835,
+  "n_columns": 5,
+  "features": [
+    "name",
+    "title"
+  ],
+  "finetune_seconds": 908.8382699450012,
+  "encode_seconds": {
+    "name": 1.3181180329993367,
+    "title": 0.4691290340015257
+  },
+  "total_seconds": 910.6255170120021,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:37:35",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_2/README.md b/core-text-reg-vancouver-salaries/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_2/adapter_config.json b/core-text-reg-vancouver-salaries/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2e0c1ddef7082e3a5249d6e78c4b1c639b3498ab
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_2/meta.json b/core-text-reg-vancouver-salaries/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..970cd6830c6f942309ea7ceadb8dc2c4cd2f09b9
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_2/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VANCOUVER_SALARIES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8174028396606445,
+  "epochs": 23.0,
+  "n_rows": 15000,
+  "n_inputs": 7855,
+  "n_columns": 5,
+  "features": [
+    "name",
+    "title"
+  ],
+  "finetune_seconds": 633.9074965789987,
+  "encode_seconds": {
+    "name": 1.2950704770009906,
+    "title": 0.46206136599721503
+  },
+  "total_seconds": 635.6646284219969,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:48:23",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_3/README.md b/core-text-reg-vancouver-salaries/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_3/adapter_config.json b/core-text-reg-vancouver-salaries/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fbccda01d158cb50a7de90e364f59e66033f227c
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_3/meta.json b/core-text-reg-vancouver-salaries/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..de2f36248a3277e16ff7fc236d87cd1b3ec05d68
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_3/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VANCOUVER_SALARIES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.813868761062622,
+  "epochs": 19.0,
+  "n_rows": 15000,
+  "n_inputs": 7887,
+  "n_columns": 5,
+  "features": [
+    "name",
+    "title"
+  ],
+  "finetune_seconds": 523.7098133519976,
+  "encode_seconds": {
+    "name": 1.3015548100011074,
+    "title": 0.45737124199877144
+  },
+  "total_seconds": 525.4687394039975,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:57:22",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_4/README.md b/core-text-reg-vancouver-salaries/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_4/adapter_config.json b/core-text-reg-vancouver-salaries/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..5dde740b3d857e0cc407659c582eeff8cf1b41bf
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_4/meta.json b/core-text-reg-vancouver-salaries/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..996b1093e0eafb92dcf672bcd2b624f6c9790891
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_4/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VANCOUVER_SALARIES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.817166328430176,
+  "epochs": 35.0,
+  "n_rows": 15000,
+  "n_inputs": 7812,
+  "n_columns": 5,
+  "features": [
+    "name",
+    "title"
+  ],
+  "finetune_seconds": 963.9406166909976,
+  "encode_seconds": {
+    "name": 1.3259388099977514,
+    "title": 0.45572553600140964
+  },
+  "total_seconds": 965.7222810369967,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:13:40",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_5/README.md b/core-text-reg-vancouver-salaries/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_5/adapter_config.json b/core-text-reg-vancouver-salaries/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..25fe946ae370da5d5aae21f3b1c025a9a254f2fc
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-vancouver-salaries/10k/fold_5/meta.json b/core-text-reg-vancouver-salaries/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c010a0f2e309da8b701b07a3b22be5bce39b5a8
--- /dev/null
+++ b/core-text-reg-vancouver-salaries/10k/fold_5/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VANCOUVER_SALARIES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8298959732055664,
+  "epochs": 21.0,
+  "n_rows": 15000,
+  "n_inputs": 7858,
+  "n_columns": 5,
+  "features": [
+    "name",
+    "title"
+  ],
+  "finetune_seconds": 578.6735008420001,
+  "encode_seconds": {
+    "name": 1.2954659800016088,
+    "title": 0.45741586499934783
+  },
+  "total_seconds": 580.426382687001,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:23:34",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_0/README.md b/core-text-reg-video-games-sales/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_0/adapter_config.json b/core-text-reg-video-games-sales/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..962dfda182be6ab895240810095c8337aa8bd979
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_0/meta.json b/core-text-reg-video-games-sales/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..2f2fad2e9462b3c904fd02a27d4a24afd4814c2b
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_0/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VIDEO_GAMES_SALES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.755316972732544,
+  "epochs": 17.0,
+  "n_rows": 15000,
+  "n_inputs": 11177,
+  "n_columns": 5,
+  "features": [
+    "Name",
+    "Publisher"
+  ],
+  "finetune_seconds": 468.1887567640006,
+  "encode_seconds": {
+    "Name": 2.467817554999783,
+    "Publisher": 0.13641283700053464
+  },
+  "total_seconds": 470.7929871560009,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:30:06",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_1/README.md b/core-text-reg-video-games-sales/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_1/adapter_config.json b/core-text-reg-video-games-sales/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0820d099fdaae77cfcd6d69ab5252b150e73943
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_1/meta.json b/core-text-reg-video-games-sales/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..850a532c67d611790d03a4306df9852ed69081ea
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_1/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VIDEO_GAMES_SALES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.748741626739502,
+  "epochs": 22.0,
+  "n_rows": 15000,
+  "n_inputs": 11156,
+  "n_columns": 5,
+  "features": [
+    "Name",
+    "Publisher"
+  ],
+  "finetune_seconds": 605.5842423440008,
+  "encode_seconds": {
+    "Name": 2.5071112120022008,
+    "Publisher": 0.13606658299977425
+  },
+  "total_seconds": 608.2274201390028,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:40:28",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_2/README.md b/core-text-reg-video-games-sales/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_2/adapter_config.json b/core-text-reg-video-games-sales/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..93d57270a409b5d112e017cf9b2616c2aa60c59d
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_2/meta.json b/core-text-reg-video-games-sales/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..a0e57fd145f3f8580c35c7e8e10d7624976f7fa5
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_2/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VIDEO_GAMES_SALES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.7768070697784424,
+  "epochs": 27.0,
+  "n_rows": 15000,
+  "n_inputs": 11221,
+  "n_columns": 5,
+  "features": [
+    "Name",
+    "Publisher"
+  ],
+  "finetune_seconds": 742.9199067759982,
+  "encode_seconds": {
+    "Name": 2.4762788629996066,
+    "Publisher": 0.13309976300297421
+  },
+  "total_seconds": 745.5292854020008,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:53:06",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_3/README.md b/core-text-reg-video-games-sales/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_3/adapter_config.json b/core-text-reg-video-games-sales/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..687827dcfcbaf14070b8972200aba6113c802e2b
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_3/meta.json b/core-text-reg-video-games-sales/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..e1dda72271e5aaffde4d33f928119d1f6843128a
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_3/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VIDEO_GAMES_SALES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.755809783935547,
+  "epochs": 27.0,
+  "n_rows": 15000,
+  "n_inputs": 11201,
+  "n_columns": 5,
+  "features": [
+    "Name",
+    "Publisher"
+  ],
+  "finetune_seconds": 743.5199446730003,
+  "encode_seconds": {
+    "Name": 2.509034637998411,
+    "Publisher": 0.13558556199859595
+  },
+  "total_seconds": 746.1645648729973,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:05:46",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_4/README.md b/core-text-reg-video-games-sales/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_4/adapter_config.json b/core-text-reg-video-games-sales/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a4cb32d09892b32a2fc0a1d249b0b16cc152c9dc
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_4/meta.json b/core-text-reg-video-games-sales/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..a079253728ffca558a8d9a5f9955ad67bce8fb8a
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_4/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VIDEO_GAMES_SALES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.749589204788208,
+  "epochs": 25.0,
+  "n_rows": 15000,
+  "n_inputs": 11204,
+  "n_columns": 5,
+  "features": [
+    "Name",
+    "Publisher"
+  ],
+  "finetune_seconds": 688.080819122999,
+  "encode_seconds": {
+    "Name": 2.503441536002356,
+    "Publisher": 0.13174412499938626
+  },
+  "total_seconds": 690.7160047840007,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:17:30",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_5/README.md b/core-text-reg-video-games-sales/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_5/adapter_config.json b/core-text-reg-video-games-sales/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..30c0458df0e3b7d403fb089e44651685602680f0
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-video-games-sales/10k/fold_5/meta.json b/core-text-reg-video-games-sales/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..45188afb843cf119bb0c9641b32552b5afc2f11e
--- /dev/null
+++ b/core-text-reg-video-games-sales/10k/fold_5/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_VIDEO_GAMES_SALES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.750211715698242,
+  "epochs": 14.0,
+  "n_rows": 15000,
+  "n_inputs": 11198,
+  "n_columns": 5,
+  "features": [
+    "Name",
+    "Publisher"
+  ],
+  "finetune_seconds": 386.0550249670014,
+  "encode_seconds": {
+    "Name": 2.3972977150006045,
+    "Publisher": 0.12669216300128028
+  },
+  "total_seconds": 388.57901484500326,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:24:12",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_0/README.md b/core-text-reg-zomato-restaurants/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_0/adapter_config.json b/core-text-reg-zomato-restaurants/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..39d805d7f494a6eaaa7b180b495ecd6beba2313b
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_0/meta.json b/core-text-reg-zomato-restaurants/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b2c12db554f3dfd384e8b362fdba24a03758886
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_0/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ZOMATO_RESTAURANTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.4135334491729736,
+  "epochs": 31.0,
+  "n_rows": 15000,
+  "n_inputs": 39169,
+  "n_columns": 15,
+  "features": [
+    "address",
+    "cuisines",
+    "dish_liked",
+    "menu_item",
+    "name",
+    "phone",
+    "reviews_list"
+  ],
+  "finetune_seconds": 2950.2837027959977,
+  "encode_seconds": {
+    "address": 1.60349011800281,
+    "cuisines": 0.47859647599761956,
+    "dish_liked": 0.9251602479998837,
+    "menu_item": 5.311518071001046,
+    "name": 1.1793793479992019,
+    "phone": 1.7551856270001736,
+    "reviews_list": 40.8915790630017
+  },
+  "total_seconds": 3002.428611747,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:52:27",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_1/README.md b/core-text-reg-zomato-restaurants/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_1/adapter_config.json b/core-text-reg-zomato-restaurants/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..af356fb4c6666154bf6b8ff7cbd141b8c2ed0de9
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_1/meta.json b/core-text-reg-zomato-restaurants/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..46c63917b879c6a51deb4d653b2df9de6cf897cc
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_1/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ZOMATO_RESTAURANTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.427765369415283,
+  "epochs": 41.0,
+  "n_rows": 15000,
+  "n_inputs": 38903,
+  "n_columns": 15,
+  "features": [
+    "address",
+    "cuisines",
+    "dish_liked",
+    "menu_item",
+    "name",
+    "phone",
+    "reviews_list"
+  ],
+  "finetune_seconds": 3893.5494070860004,
+  "encode_seconds": {
+    "address": 1.6112507390025712,
+    "cuisines": 0.46561462899990147,
+    "dish_liked": 0.9104151319988887,
+    "menu_item": 5.317998186001205,
+    "name": 1.1583029060020635,
+    "phone": 1.7260819240000274,
+    "reviews_list": 41.731413608002185
+  },
+  "total_seconds": 3946.4704842100073,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 16:58:35",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_2/README.md b/core-text-reg-zomato-restaurants/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_2/adapter_config.json b/core-text-reg-zomato-restaurants/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c03b1d319058a9e8fbd422e7a2651f6cf3739b61
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_2/meta.json b/core-text-reg-zomato-restaurants/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d9a29b239995ef96092f1a9d4a606441650c25f
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_2/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ZOMATO_RESTAURANTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.419724225997925,
+  "epochs": 45.0,
+  "n_rows": 15000,
+  "n_inputs": 39297,
+  "n_columns": 15,
+  "features": [
+    "address",
+    "cuisines",
+    "dish_liked",
+    "menu_item",
+    "name",
+    "phone",
+    "reviews_list"
+  ],
+  "finetune_seconds": 4281.288687299999,
+  "encode_seconds": {
+    "address": 1.6570066240019514,
+    "cuisines": 0.48271858699445147,
+    "dish_liked": 0.9587838639999973,
+    "menu_item": 5.328312101999472,
+    "name": 1.1784016300007352,
+    "phone": 1.7656017879999126,
+    "reviews_list": 41.62438461900456
+  },
+  "total_seconds": 4334.283896514,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 18:11:16",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_3/README.md b/core-text-reg-zomato-restaurants/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_3/adapter_config.json b/core-text-reg-zomato-restaurants/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..650ccf63f648c1799da3e3c65a58c88dcfc49a3b
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_3/meta.json b/core-text-reg-zomato-restaurants/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..38a02fb40c7d5677e5f542b2c62a9b031d3c9179
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_3/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ZOMATO_RESTAURANTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.4542083740234375,
+  "epochs": 47.0,
+  "n_rows": 15000,
+  "n_inputs": 39555,
+  "n_columns": 15,
+  "features": [
+    "address",
+    "cuisines",
+    "dish_liked",
+    "menu_item",
+    "name",
+    "phone",
+    "reviews_list"
+  ],
+  "finetune_seconds": 4481.3569661059955,
+  "encode_seconds": {
+    "address": 1.5582489119988168,
+    "cuisines": 0.44711894399370067,
+    "dish_liked": 0.8976804870035267,
+    "menu_item": 5.313782539997192,
+    "name": 1.157888934998482,
+    "phone": 1.7332058609972592,
+    "reviews_list": 42.52945077900222
+  },
+  "total_seconds": 4534.994342563987,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 19:27:14",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_4/README.md b/core-text-reg-zomato-restaurants/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_4/adapter_config.json b/core-text-reg-zomato-restaurants/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..154d09ab201901788ff63df2b7b1fbbbce8f7e11
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_4/meta.json b/core-text-reg-zomato-restaurants/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..56bdc6ba2d2945e3f83a9ff3fe0dea22362261e2
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_4/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ZOMATO_RESTAURANTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.4216227531433105,
+  "epochs": 45.0,
+  "n_rows": 15000,
+  "n_inputs": 39166,
+  "n_columns": 15,
+  "features": [
+    "address",
+    "cuisines",
+    "dish_liked",
+    "menu_item",
+    "name",
+    "phone",
+    "reviews_list"
+  ],
+  "finetune_seconds": 4279.924236831997,
+  "encode_seconds": {
+    "address": 1.6067687909962842,
+    "cuisines": 0.45542500599549385,
+    "dish_liked": 0.9044610249984544,
+    "menu_item": 5.220237936999183,
+    "name": 1.171418359997915,
+    "phone": 1.741183601996454,
+    "reviews_list": 39.58761063199927
+  },
+  "total_seconds": 4330.6113421849805,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 20:39:59",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_5/README.md b/core-text-reg-zomato-restaurants/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_5/adapter_config.json b/core-text-reg-zomato-restaurants/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..a492bf3f384a9c5ac20c5154314d8bb4c4bddac8
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-zomato-restaurants/10k/fold_5/meta.json b/core-text-reg-zomato-restaurants/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..77d7dbd07a8f2bffe5408862e3b95d092687f03f
--- /dev/null
+++ b/core-text-reg-zomato-restaurants/10k/fold_5/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ZOMATO_RESTAURANTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.43178129196167,
+  "epochs": 34.0,
+  "n_rows": 15000,
+  "n_inputs": 39084,
+  "n_columns": 15,
+  "features": [
+    "address",
+    "cuisines",
+    "dish_liked",
+    "menu_item",
+    "name",
+    "phone",
+    "reviews_list"
+  ],
+  "finetune_seconds": 3232.4800037039968,
+  "encode_seconds": {
+    "address": 1.7086690040014219,
+    "cuisines": 0.4986791589981294,
+    "dish_liked": 0.9861607299972093,
+    "menu_item": 5.444396553000843,
+    "name": 1.2551055680014542,
+    "phone": 1.870463250001194,
+    "reviews_list": 46.67643406899879
+  },
+  "total_seconds": 3290.919912036996,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 21:35:13",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-california-prices/10k/fold_0/README.md b/extended-text-cls-california-prices/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-california-prices/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-california-prices/10k/fold_0/adapter_config.json b/extended-text-cls-california-prices/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9ae750be2c797d463fc1a02349859a7fc9ec773c
--- /dev/null
+++ b/extended-text-cls-california-prices/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-california-prices/10k/fold_0/meta.json b/extended-text-cls-california-prices/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..b547ff609c58074d424ca4ff7bf2dec91542a8a5
--- /dev/null
+++ b/extended-text-cls-california-prices/10k/fold_0/meta.json
@@ -0,0 +1,85 @@
+{
+  "dataset": "BIN_TEXT_CALIFORNIA_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.5846945643424988,
+  "epochs": 23.0,
+  "n_rows": 15000,
+  "n_inputs": 43955,
+  "n_columns": 39,
+  "features": [
+    "Address",
+    "Appliances_included",
+    "Bedrooms",
+    "City",
+    "Cooling",
+    "Cooling_features",
+    "Elementary_School",
+    "Flooring",
+    "Heating",
+    "Heating_features",
+    "High_School",
+    "Laundry_features",
+    "Middle_School",
+    "Parking",
+    "Parking_features",
+    "Region",
+    "Summary",
+    "Type"
+  ],
+  "finetune_seconds": 5549.869502318,
+  "encode_seconds": {
+    "Address": 3.317700038000112,
+    "Appliances_included": 0.48690491399975144,
+    "Bedrooms": 0.04870304399992165,
+    "City": 0.1673491470000954,
+    "Cooling": 0.07553101000030438,
+    "Cooling_features": 0.04467512999963219,
+    "Elementary_School": 0.3084159580002961,
+    "Flooring": 0.1707912789997863,
+    "Heating": 0.20913963400016655,
+    "Heating_features": 0.13391532300011022,
+    "High_School": 0.13451294300011796,
+    "Laundry_features": 0.24771562499972788,
+    "Middle_School": 0.1046812200002023,
+    "Parking": 0.5403424320002159,
+    "Parking_features": 0.5051917840000897,
+    "Region": 0.1761293689996819,
+    "Summary": 13.332282839999607,
+    "Type": 0.024893548000363808
+  },
+  "total_seconds": 5569.898377556,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:31:10",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04118728637695,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-california-prices/10k/fold_4/README.md b/extended-text-cls-california-prices/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-california-prices/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-california-prices/10k/fold_4/adapter_config.json b/extended-text-cls-california-prices/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..17a5af84601beb10e14b6422faf9bfb39be9e334
--- /dev/null
+++ b/extended-text-cls-california-prices/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-imdb-genre/10k/fold_2/adapter_config.json b/extended-text-cls-imdb-genre/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..324b4fcf9af48226ccf026418ac3b126aab9433e
--- /dev/null
+++ b/extended-text-cls-imdb-genre/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-imdb-genre/10k/fold_2/meta.json b/extended-text-cls-imdb-genre/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..371da3b969944dda3ddb79bd2695889d30557959
--- /dev/null
+++ b/extended-text-cls-imdb-genre/10k/fold_2/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "BIN_TEXT_IMDB_GENRE",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 534,
+  "n_test": 266,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.6654900312423706,
+  "epochs": 18.0,
+  "n_rows": 800,
+  "n_inputs": 2955,
+  "n_columns": 11,
+  "features": [
+    "Actors",
+    "Description",
+    "Director",
+    "Title"
+  ],
+  "finetune_seconds": 65.30008106200012,
+  "encode_seconds": {
+    "Actors": 0.19604367400006595,
+    "Description": 0.21773413199980496,
+    "Director": 0.1354121879999184,
+    "Title": 0.1802943270004107
+  },
+  "total_seconds": 66.02956538300032,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 08:33:00",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-imdb-genre/10k/fold_5/README.md b/extended-text-cls-imdb-genre/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-imdb-genre/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-imdb-genre/10k/fold_5/adapter_config.json b/extended-text-cls-imdb-genre/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d81064d3099c54f8ad2f798cc86a3c0f30404b83
--- /dev/null
+++ b/extended-text-cls-imdb-genre/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-imdb-genre/10k/fold_5/meta.json b/extended-text-cls-imdb-genre/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..a7ed533e8aa95b02bd38516704d078ebe3892ed1
--- /dev/null
+++ b/extended-text-cls-imdb-genre/10k/fold_5/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "BIN_TEXT_IMDB_GENRE",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 534,
+  "n_test": 266,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.6673682332038879,
+  "epochs": 17.0,
+  "n_rows": 800,
+  "n_inputs": 2955,
+  "n_columns": 11,
+  "features": [
+    "Actors",
+    "Description",
+    "Director",
+    "Title"
+  ],
+  "finetune_seconds": 61.86307097700001,
+  "encode_seconds": {
+    "Actors": 0.19416549700008545,
+    "Description": 0.21954489700010527,
+    "Director": 0.13550011799998174,
+    "Title": 0.1825243309999678
+  },
+  "total_seconds": 62.59480582000015,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 08:37:35",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_1/meta.json b/extended-text-reg-anime-planet/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..f86d720156503548dbda79f4f9a19b88babd0c38
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_1/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ANIME_PLANET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 9594,
+  "n_test": 4797,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8579249382019043,
+  "epochs": 24.0,
+  "n_rows": 14391,
+  "n_inputs": 40321,
+  "n_columns": 14,
+  "features": [
+    "Alternative Name",
+    "Content Warning",
+    "Name",
+    "Season",
+    "Studios",
+    "Synopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 2172.3825044490004,
+  "encode_seconds": {
+    "Alternative Name": 1.600011815000471,
+    "Content Warning": 0.05516523699952813,
+    "Name": 3.3818679150008393,
+    "Season": 0.030276856999989832,
+    "Studios": 0.23173101999964274,
+    "Synopsis": 4.684833077000803,
+    "Tags": 2.4340250519999245
+  },
+  "total_seconds": 2184.8004154220016,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:28:47",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_2/README.md b/extended-text-reg-anime-planet/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_2/adapter_config.json b/extended-text-reg-anime-planet/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..563806ec8a5e9a64e11346f56cbc1b3fc5e03a08
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_2/meta.json b/extended-text-reg-anime-planet/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..57b842d20e7f23877201181111b2b4d5a72c91d3
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_2/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ANIME_PLANET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 9594,
+  "n_test": 4797,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8423736095428467,
+  "epochs": 26.0,
+  "n_rows": 14391,
+  "n_inputs": 40321,
+  "n_columns": 14,
+  "features": [
+    "Alternative Name",
+    "Content Warning",
+    "Name",
+    "Season",
+    "Studios",
+    "Synopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 2354.6784777039993,
+  "encode_seconds": {
+    "Alternative Name": 1.610458564999135,
+    "Content Warning": 0.05599234900000738,
+    "Name": 3.446907821999048,
+    "Season": 0.0306786800010741,
+    "Studios": 0.2405037190001167,
+    "Synopsis": 4.681155112999477,
+    "Tags": 2.4926925279996794
+  },
+  "total_seconds": 2367.236866479998,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:08:31",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_3/README.md b/extended-text-reg-anime-planet/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_3/adapter_config.json b/extended-text-reg-anime-planet/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a52e60771991219245d2638e55a629844b55f5d
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_3/meta.json b/extended-text-reg-anime-planet/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..851885b6a161ad3f89a7426226aec901c7b038ba
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_3/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ANIME_PLANET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 9594,
+  "n_test": 4797,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8498494625091553,
+  "epochs": 24.0,
+  "n_rows": 14391,
+  "n_inputs": 40321,
+  "n_columns": 14,
+  "features": [
+    "Alternative Name",
+    "Content Warning",
+    "Name",
+    "Season",
+    "Studios",
+    "Synopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 2173.9925388400006,
+  "encode_seconds": {
+    "Alternative Name": 1.6422811299999012,
+    "Content Warning": 0.058119552999414736,
+    "Name": 3.411535911996907,
+    "Season": 0.02986668700032169,
+    "Studios": 0.23476197300260537,
+    "Synopsis": 4.697198139001557,
+    "Tags": 2.5271320909996575
+  },
+  "total_seconds": 2186.593434325001,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:45:13",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_5/README.md b/extended-text-reg-anime-planet/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_5/adapter_config.json b/extended-text-reg-anime-planet/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..80804c615b2c74640fa386e9fb903a392a7567a1
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-anime-planet/10k/fold_5/meta.json b/extended-text-reg-anime-planet/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..93ebd596f882f89d341a5e215b837fcc7984ceb6
--- /dev/null
+++ b/extended-text-reg-anime-planet/10k/fold_5/meta.json
@@ -0,0 +1,63 @@
+{
+  "dataset": "REG_TEXT_ANIME_PLANET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 9594,
+  "n_test": 4797,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8440816402435303,
+  "epochs": 24.0,
+  "n_rows": 14391,
+  "n_inputs": 40321,
+  "n_columns": 14,
+  "features": [
+    "Alternative Name",
+    "Content Warning",
+    "Name",
+    "Season",
+    "Studios",
+    "Synopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 2173.108904280998,
+  "encode_seconds": {
+    "Alternative Name": 1.6248082680031075,
+    "Content Warning": 0.056874388003052445,
+    "Name": 3.4429528979999304,
+    "Season": 0.030217474999517435,
+    "Studios": 0.23401685499993619,
+    "Synopsis": 4.747649693999847,
+    "Tags": 2.499427678001666
+  },
+  "total_seconds": 2185.744851537005,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:42:01",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_0/README.md b/extended-text-reg-ramen-ratings/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_0/adapter_config.json b/extended-text-reg-ramen-ratings/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d7f70a2ce7d8b6b256a642cd92b6cbf06246814
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_0/meta.json b/extended-text-reg-ramen-ratings/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..04dffb7c698c9279b5dc4e7278da3b5aa8659ed0
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_0/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_RAMEN_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 2736,
+  "n_test": 1369,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.189859628677368,
+  "epochs": 24.0,
+  "n_rows": 4105,
+  "n_inputs": 4428,
+  "n_columns": 4,
+  "features": [
+    "Brand",
+    "Variety"
+  ],
+  "finetune_seconds": 194.47533919999842,
+  "encode_seconds": {
+    "Brand": 0.15255028200044762,
+    "Variety": 0.8966575939994073
+  },
+  "total_seconds": 195.52454707599827,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:05:10",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_1/README.md b/extended-text-reg-ramen-ratings/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_1/adapter_config.json b/extended-text-reg-ramen-ratings/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..1aa38c869387b3fde4a46b5090337a5d4965fe0b
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_1/meta.json b/extended-text-reg-ramen-ratings/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..8259ef998f734449f50ce80bd12c26a61adda911
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_1/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_RAMEN_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 2737,
+  "n_test": 1368,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.2454559803009033,
+  "epochs": 25.0,
+  "n_rows": 4105,
+  "n_inputs": 4428,
+  "n_columns": 4,
+  "features": [
+    "Brand",
+    "Variety"
+  ],
+  "finetune_seconds": 202.79868971299948,
+  "encode_seconds": {
+    "Brand": 0.1504035420002765,
+    "Variety": 0.8921561630013457
+  },
+  "total_seconds": 203.8412494180011,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:08:47",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_2/README.md b/extended-text-reg-ramen-ratings/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_2/adapter_config.json b/extended-text-reg-ramen-ratings/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..619bd606e2b20ea8416deef99a23af169facfcb6
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_2/meta.json b/extended-text-reg-ramen-ratings/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..fb7e70c55e6ddcee9d081fbf2f574a178127fdc3
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_2/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_RAMEN_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 2737,
+  "n_test": 1368,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.2464599609375,
+  "epochs": 16.0,
+  "n_rows": 4105,
+  "n_inputs": 4428,
+  "n_columns": 4,
+  "features": [
+    "Brand",
+    "Variety"
+  ],
+  "finetune_seconds": 130.15710335499898,
+  "encode_seconds": {
+    "Brand": 0.15579336100199725,
+    "Variety": 0.9062257459991088
+  },
+  "total_seconds": 131.2191224620001,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:11:11",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_3/README.md b/extended-text-reg-ramen-ratings/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_3/adapter_config.json b/extended-text-reg-ramen-ratings/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..aec5338442cf6f20a60f869a92eaa29c0c6aa917
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_3/meta.json b/extended-text-reg-ramen-ratings/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..17dad6848db83bcc23dc9a270750129783e8578a
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_3/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_RAMEN_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 2736,
+  "n_test": 1369,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.238579273223877,
+  "epochs": 20.0,
+  "n_rows": 4105,
+  "n_inputs": 4428,
+  "n_columns": 4,
+  "features": [
+    "Brand",
+    "Variety"
+  ],
+  "finetune_seconds": 162.38981978200172,
+  "encode_seconds": {
+    "Brand": 0.15563198500240105,
+    "Variety": 0.9116494320005586
+  },
+  "total_seconds": 163.45710119900468,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:14:07",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_4/README.md b/extended-text-reg-ramen-ratings/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_4/adapter_config.json b/extended-text-reg-ramen-ratings/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..edd4d43d2cdf45b920699cd077a98d963f075a62
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_4/meta.json b/extended-text-reg-ramen-ratings/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..fcdbbd68eac8f218ea1ed3bfd3ec5625562a7fd7
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_4/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_RAMEN_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 2737,
+  "n_test": 1368,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.208205461502075,
+  "epochs": 26.0,
+  "n_rows": 4105,
+  "n_inputs": 4428,
+  "n_columns": 4,
+  "features": [
+    "Brand",
+    "Variety"
+  ],
+  "finetune_seconds": 210.6617610430003,
+  "encode_seconds": {
+    "Brand": 0.15090532999965944,
+    "Variety": 0.8897730770004273
+  },
+  "total_seconds": 211.70243945000038,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:17:51",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_5/README.md b/extended-text-reg-ramen-ratings/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_5/adapter_config.json b/extended-text-reg-ramen-ratings/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..34700ce7fafc89ec695a40b26e389b03e0696507
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-ramen-ratings/10k/fold_5/meta.json b/extended-text-reg-ramen-ratings/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..da587ab1cf1faccd25a02705739fe78542d500c2
--- /dev/null
+++ b/extended-text-reg-ramen-ratings/10k/fold_5/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_RAMEN_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 2737,
+  "n_test": 1368,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.236138105392456,
+  "epochs": 22.0,
+  "n_rows": 4105,
+  "n_inputs": 4428,
+  "n_columns": 4,
+  "features": [
+    "Brand",
+    "Variety"
+  ],
+  "finetune_seconds": 178.50513242200032,
+  "encode_seconds": {
+    "Brand": 0.15293405400007032,
+    "Variety": 0.9006165489990963
+  },
+  "total_seconds": 179.55868302499948,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:21:03",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_0/README.md b/extended-text-reg-wine-polish-market/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_0/adapter_config.json b/extended-text-reg-wine-polish-market/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6164910a06d3d8c326be5dc15d8e3a8bba3b7470
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_0/meta.json b/extended-text-reg-wine-polish-market/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a7148e6559c722c67f09182901d6357f9d9e83f
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_0/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "REG_TEXT_WINE_POLISH_MARKET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 1498,
+  "n_test": 749,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.7737064361572266,
+  "epochs": 40.0,
+  "n_rows": 2247,
+  "n_inputs": 3648,
+  "n_columns": 18,
+  "features": [
+    "appellation",
+    "grapes",
+    "name",
+    "region",
+    "vineyard"
+  ],
+  "finetune_seconds": 435.2298720869985,
+  "encode_seconds": {
+    "appellation": 0.09234582300268812,
+    "grapes": 0.17456621400197037,
+    "name": 0.5564113270011148,
+    "region": 0.04179310600011377,
+    "vineyard": 0.07008147799933795
+  },
+  "total_seconds": 436.16507003500374,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 14:58:46",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_1/README.md b/extended-text-reg-wine-polish-market/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_1/adapter_config.json b/extended-text-reg-wine-polish-market/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e966e912dc36e81fc0e4f2e0f2d194c52dd4288f
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_1/meta.json b/extended-text-reg-wine-polish-market/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..dc9599d47a9a1feb0dadbd558e0cb7de2c3dfc69
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_1/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "REG_TEXT_WINE_POLISH_MARKET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 1498,
+  "n_test": 749,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8264341354370117,
+  "epochs": 37.0,
+  "n_rows": 2247,
+  "n_inputs": 3648,
+  "n_columns": 18,
+  "features": [
+    "appellation",
+    "grapes",
+    "name",
+    "region",
+    "vineyard"
+  ],
+  "finetune_seconds": 402.51759664199926,
+  "encode_seconds": {
+    "appellation": 0.08958898299897555,
+    "grapes": 0.1709389569987252,
+    "name": 0.5483185759985645,
+    "region": 0.041255631997046294,
+    "vineyard": 0.07087539699932677
+  },
+  "total_seconds": 403.4385741869919,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:05:42",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_2/README.md b/extended-text-reg-wine-polish-market/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_2/adapter_config.json b/extended-text-reg-wine-polish-market/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..92e785528fbbfba7dd87f8ea4c7dda143ce4be52
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_2/meta.json b/extended-text-reg-wine-polish-market/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..603abbbc902282bb96ca440dcbcbf03765e6ccc8
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_2/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "REG_TEXT_WINE_POLISH_MARKET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 1498,
+  "n_test": 749,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.779646873474121,
+  "epochs": 50.0,
+  "n_rows": 2247,
+  "n_inputs": 3648,
+  "n_columns": 18,
+  "features": [
+    "appellation",
+    "grapes",
+    "name",
+    "region",
+    "vineyard"
+  ],
+  "finetune_seconds": 544.4936531700005,
+  "encode_seconds": {
+    "appellation": 0.09006719900207827,
+    "grapes": 0.17117969999890192,
+    "name": 0.5361011489985685,
+    "region": 0.03995903000031831,
+    "vineyard": 0.06769474600150716
+  },
+  "total_seconds": 545.3986549940018,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:15:01",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_3/README.md b/extended-text-reg-wine-polish-market/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_3/adapter_config.json b/extended-text-reg-wine-polish-market/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..aecf49084cf8249468c9e36907be84a33dfafe0f
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_3/meta.json b/extended-text-reg-wine-polish-market/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..d30d99bb5561745f97c0422a29255cc036d3d7e4
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_3/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "REG_TEXT_WINE_POLISH_MARKET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 1498,
+  "n_test": 749,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.830348253250122,
+  "epochs": 50.0,
+  "n_rows": 2247,
+  "n_inputs": 3648,
+  "n_columns": 18,
+  "features": [
+    "appellation",
+    "grapes",
+    "name",
+    "region",
+    "vineyard"
+  ],
+  "finetune_seconds": 544.5247191469971,
+  "encode_seconds": {
+    "appellation": 0.09314716600056272,
+    "grapes": 0.17327291800029343,
+    "name": 0.545934533001855,
+    "region": 0.04017097700125305,
+    "vineyard": 0.06972542699804762
+  },
+  "total_seconds": 545.4469701679991,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:24:20",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_4/README.md b/extended-text-reg-wine-polish-market/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_4/adapter_config.json b/extended-text-reg-wine-polish-market/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..58b79df29732d0e96274f4380564cb8b0c7ad53f
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_4/meta.json b/extended-text-reg-wine-polish-market/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..63ccbb52153182b9d893f86aeff0d2cebb1deb49
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_4/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "REG_TEXT_WINE_POLISH_MARKET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 1498,
+  "n_test": 749,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8325483798980713,
+  "epochs": 26.0,
+  "n_rows": 2247,
+  "n_inputs": 3648,
+  "n_columns": 18,
+  "features": [
+    "appellation",
+    "grapes",
+    "name",
+    "region",
+    "vineyard"
+  ],
+  "finetune_seconds": 282.38453761500205,
+  "encode_seconds": {
+    "appellation": 0.08977731300183223,
+    "grapes": 0.16729479100104072,
+    "name": 0.5280795019971265,
+    "region": 0.03824703300051624,
+    "vineyard": 0.0673025050018623
+  },
+  "total_seconds": 283.2752387590044,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:29:17",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_5/README.md b/extended-text-reg-wine-polish-market/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_5/adapter_config.json b/extended-text-reg-wine-polish-market/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..70258bb33e2c4489b8960b5a1484f9d01863a0bb
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-polish-market/10k/fold_5/meta.json b/extended-text-reg-wine-polish-market/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8442e9d20b68b25febaf62ba9efccd003d36acc
--- /dev/null
+++ b/extended-text-reg-wine-polish-market/10k/fold_5/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "REG_TEXT_WINE_POLISH_MARKET",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 1498,
+  "n_test": 749,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.8193085193634033,
+  "epochs": 38.0,
+  "n_rows": 2247,
+  "n_inputs": 3648,
+  "n_columns": 18,
+  "features": [
+    "appellation",
+    "grapes",
+    "name",
+    "region",
+    "vineyard"
+  ],
+  "finetune_seconds": 412.6477462410003,
+  "encode_seconds": {
+    "appellation": 0.09161996100010583,
+    "grapes": 0.17219442200075719,
+    "name": 0.5459058989981713,
+    "region": 0.03995410300194635,
+    "vineyard": 0.06962307700086967
+  },
+  "total_seconds": 413.5670437030021,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:36:23",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_0/README.md b/extended-text-reg-wine-vivino-spain/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_0/adapter_config.json b/extended-text-reg-wine-vivino-spain/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c46d6c05c0db6789e2aea24e767231569eed111f
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_0/meta.json b/extended-text-reg-wine-vivino-spain/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e99f10222cf1f820c556092379ea4cccaaa7f2f
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_0/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_WINE_VIVINO_SPAIN",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 5766,
+  "n_test": 2884,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.6113255620002747,
+  "epochs": 33.0,
+  "n_rows": 8650,
+  "n_inputs": 2510,
+  "n_columns": 7,
+  "features": [
+    "Wine",
+    "Winery"
+  ],
+  "finetune_seconds": 534.9590214589989,
+  "encode_seconds": {
+    "Wine": 0.40089170500141336,
+    "Winery": 0.2056150019998313
+  },
+  "total_seconds": 535.5655281660001,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:01:56",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_1/README.md b/extended-text-reg-wine-vivino-spain/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_1/adapter_config.json b/extended-text-reg-wine-vivino-spain/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b9f498b4cb98bd5caf7d1edda8b40d18a5cc9a9
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_1/meta.json b/extended-text-reg-wine-vivino-spain/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..aaa4a724841f91e6e8457a5db1b705ab3ac652f1
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_1/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_WINE_VIVINO_SPAIN",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 5767,
+  "n_test": 2883,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.697959840297699,
+  "epochs": 16.0,
+  "n_rows": 8650,
+  "n_inputs": 2510,
+  "n_columns": 7,
+  "features": [
+    "Wine",
+    "Winery"
+  ],
+  "finetune_seconds": 260.61625249400095,
+  "encode_seconds": {
+    "Wine": 0.3965265160004492,
+    "Winery": 0.20167337400198448
+  },
+  "total_seconds": 261.2144523840034,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:06:31",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_2/README.md b/extended-text-reg-wine-vivino-spain/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_2/adapter_config.json b/extended-text-reg-wine-vivino-spain/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7b4b78ef1b2ea11f8280198f215a2ce281fca3a4
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_2/meta.json b/extended-text-reg-wine-vivino-spain/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..1b6c965b71b3360fe59a9e54f8ad09c029ce21f3
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_2/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_WINE_VIVINO_SPAIN",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 5767,
+  "n_test": 2883,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.6065596342086792,
+  "epochs": 26.0,
+  "n_rows": 8650,
+  "n_inputs": 2510,
+  "n_columns": 7,
+  "features": [
+    "Wine",
+    "Winery"
+  ],
+  "finetune_seconds": 423.04857193000134,
+  "encode_seconds": {
+    "Wine": 0.39141018600275856,
+    "Winery": 0.19787609900231473
+  },
+  "total_seconds": 423.6378582150064,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:13:47",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_3/README.md b/extended-text-reg-wine-vivino-spain/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_3/adapter_config.json b/extended-text-reg-wine-vivino-spain/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..85e9be804554c78ba352d3a27ae25af11d07199a
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_3/meta.json b/extended-text-reg-wine-vivino-spain/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7b980cdcd2f534510909da0da8126796d5822576
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_3/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_WINE_VIVINO_SPAIN",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 5766,
+  "n_test": 2884,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.6262675523757935,
+  "epochs": 31.0,
+  "n_rows": 8650,
+  "n_inputs": 2510,
+  "n_columns": 7,
+  "features": [
+    "Wine",
+    "Winery"
+  ],
+  "finetune_seconds": 503.73466239700065,
+  "encode_seconds": {
+    "Wine": 0.4060906380000233,
+    "Winery": 0.21171345400216524
+  },
+  "total_seconds": 504.35246648900284,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:22:24",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_4/README.md b/extended-text-reg-wine-vivino-spain/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_4/adapter_config.json b/extended-text-reg-wine-vivino-spain/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dc8e65927cfd589058b228f3d0b623b5948d8f3c
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_4/meta.json b/extended-text-reg-wine-vivino-spain/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..416de9f7972afb2d1412217a27bae03bf397a3d3
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_4/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_WINE_VIVINO_SPAIN",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 5767,
+  "n_test": 2883,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.5386645793914795,
+  "epochs": 18.0,
+  "n_rows": 8650,
+  "n_inputs": 2510,
+  "n_columns": 7,
+  "features": [
+    "Wine",
+    "Winery"
+  ],
+  "finetune_seconds": 293.0859859880002,
+  "encode_seconds": {
+    "Wine": 0.38891453899850603,
+    "Winery": 0.1985729629996058
+  },
+  "total_seconds": 293.6734734899983,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:27:32",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_5/README.md b/extended-text-reg-wine-vivino-spain/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
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+- **Language(s) (NLP):** [More Information Needed]
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+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_5/adapter_config.json b/extended-text-reg-wine-vivino-spain/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b376861bb57bd8c03cf76b27e2bbd2b79a2f850c
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-wine-vivino-spain/10k/fold_5/meta.json b/extended-text-reg-wine-vivino-spain/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..f29d3f97a3c89e55b102635b5b7b2904252a5312
--- /dev/null
+++ b/extended-text-reg-wine-vivino-spain/10k/fold_5/meta.json
@@ -0,0 +1,53 @@
+{
+  "dataset": "REG_TEXT_WINE_VIVINO_SPAIN",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 5767,
+  "n_test": 2883,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.6431310176849365,
+  "epochs": 24.0,
+  "n_rows": 8650,
+  "n_inputs": 2510,
+  "n_columns": 7,
+  "features": [
+    "Wine",
+    "Winery"
+  ],
+  "finetune_seconds": 390.76393227600056,
+  "encode_seconds": {
+    "Wine": 0.3959770959991147,
+    "Winery": 0.20095428399872617
+  },
+  "total_seconds": 391.3608636559984,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 15:34:16",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file