Upload folder using huggingface_hub

README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-v0.1
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-v0.1
+- 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

adapter_config.json

@@ -0,0 +1,41 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:398c96d782c28c185530fd6594ef96ecdb72cebc15e366df927f3af8b3380cd1
+size 13648432

checkpoint-280/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-v0.1
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-v0.1
+- 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

checkpoint-280/adapter_config.json

@@ -0,0 +1,41 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-280/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fd159ab57e929c37f36a08f1254582ff51e940308e7d21de8610c695b12c2e0
+size 13648432

checkpoint-280/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e43273ee5f1718a41c5ef6637ec938f02ce8e091c83f3debcd48809031a8e67
+size 27372875

checkpoint-280/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08123db8130752ee421491201124edec6d90fe81740e1308aa8de60febcb4de1
+size 14645

checkpoint-280/scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70bd66c5b07f27e5fdc00d7c0ab3d7ae867c161ad41b6a94df873706670b145c
+size 1383

checkpoint-280/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:869aaf4dd89e2b1166c853de26cd1912a1c9aee4874713d888dddc8483861854
+size 1465

checkpoint-280/trainer_state.json

@@ -0,0 +1,230 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.0,
+  "eval_steps": 500,
+  "global_step": 280,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.14285714285714285,
+      "grad_norm": 1.0640236139297485,
+      "learning_rate": 7.714285714285713e-05,
+      "loss": 5.2288,
+      "step": 10
+    },
+    {
+      "epoch": 0.2857142857142857,
+      "grad_norm": 0.8555219769477844,
+      "learning_rate": 0.00016285714285714284,
+      "loss": 5.2677,
+      "step": 20
+    },
+    {
+      "epoch": 0.42857142857142855,
+      "grad_norm": 0.5933736562728882,
+      "learning_rate": 0.00024857142857142857,
+      "loss": 5.1633,
+      "step": 30
+    },
+    {
+      "epoch": 0.5714285714285714,
+      "grad_norm": 0.8707918524742126,
+      "learning_rate": 0.00029619047619047615,
+      "loss": 5.204,
+      "step": 40
+    },
+    {
+      "epoch": 0.7142857142857143,
+      "grad_norm": 0.6754307746887207,
+      "learning_rate": 0.0002866666666666667,
+      "loss": 4.9108,
+      "step": 50
+    },
+    {
+      "epoch": 0.8571428571428571,
+      "grad_norm": 0.6422407627105713,
+      "learning_rate": 0.00027714285714285715,
+      "loss": 5.0247,
+      "step": 60
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.5896824598312378,
+      "learning_rate": 0.0002676190476190476,
+      "loss": 5.08,
+      "step": 70
+    },
+    {
+      "epoch": 1.1428571428571428,
+      "grad_norm": 0.7121039628982544,
+      "learning_rate": 0.0002580952380952381,
+      "loss": 4.9658,
+      "step": 80
+    },
+    {
+      "epoch": 1.2857142857142856,
+      "grad_norm": 0.5864871740341187,
+      "learning_rate": 0.00024857142857142857,
+      "loss": 5.1101,
+      "step": 90
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 0.7108164429664612,
+      "learning_rate": 0.000239047619047619,
+      "loss": 4.9746,
+      "step": 100
+    },
+    {
+      "epoch": 1.5714285714285714,
+      "grad_norm": 0.7295660376548767,
+      "learning_rate": 0.00022952380952380948,
+      "loss": 4.9954,
+      "step": 110
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "grad_norm": 0.7328065633773804,
+      "learning_rate": 0.00021999999999999995,
+      "loss": 4.9883,
+      "step": 120
+    },
+    {
+      "epoch": 1.8571428571428572,
+      "grad_norm": 0.5924595594406128,
+      "learning_rate": 0.00021047619047619045,
+      "loss": 5.015,
+      "step": 130
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.7102551460266113,
+      "learning_rate": 0.00020095238095238092,
+      "loss": 5.234,
+      "step": 140
+    },
+    {
+      "epoch": 2.142857142857143,
+      "grad_norm": 0.7643699645996094,
+      "learning_rate": 0.0001914285714285714,
+      "loss": 4.6638,
+      "step": 150
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "grad_norm": 0.9339743852615356,
+      "learning_rate": 0.00018190476190476187,
+      "loss": 5.1556,
+      "step": 160
+    },
+    {
+      "epoch": 2.4285714285714284,
+      "grad_norm": 5.603686332702637,
+      "learning_rate": 0.00017238095238095234,
+      "loss": 4.9549,
+      "step": 170
+    },
+    {
+      "epoch": 2.571428571428571,
+      "grad_norm": 0.9364807605743408,
+      "learning_rate": 0.00016285714285714284,
+      "loss": 4.8296,
+      "step": 180
+    },
+    {
+      "epoch": 2.7142857142857144,
+      "grad_norm": 0.9004333019256592,
+      "learning_rate": 0.0001533333333333333,
+      "loss": 4.9859,
+      "step": 190
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 0.9698410034179688,
+      "learning_rate": 0.0001438095238095238,
+      "loss": 5.1211,
+      "step": 200
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.7776105999946594,
+      "learning_rate": 0.00013428571428571428,
+      "loss": 5.1118,
+      "step": 210
+    },
+    {
+      "epoch": 3.142857142857143,
+      "grad_norm": 1.1164783239364624,
+      "learning_rate": 0.00012476190476190475,
+      "loss": 5.114,
+      "step": 220
+    },
+    {
+      "epoch": 3.2857142857142856,
+      "grad_norm": 1.2529207468032837,
+      "learning_rate": 0.00011523809523809524,
+      "loss": 4.8061,
+      "step": 230
+    },
+    {
+      "epoch": 3.4285714285714284,
+      "grad_norm": 1.016081690788269,
+      "learning_rate": 0.00010571428571428571,
+      "loss": 4.9263,
+      "step": 240
+    },
+    {
+      "epoch": 3.571428571428571,
+      "grad_norm": 1.0960956811904907,
+      "learning_rate": 9.61904761904762e-05,
+      "loss": 4.9537,
+      "step": 250
+    },
+    {
+      "epoch": 3.7142857142857144,
+      "grad_norm": 1.140113353729248,
+      "learning_rate": 8.666666666666665e-05,
+      "loss": 4.9409,
+      "step": 260
+    },
+    {
+      "epoch": 3.857142857142857,
+      "grad_norm": 1.1304645538330078,
+      "learning_rate": 7.714285714285713e-05,
+      "loss": 4.9235,
+      "step": 270
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 1.1090046167373657,
+      "learning_rate": 6.761904761904761e-05,
+      "loss": 4.7038,
+      "step": 280
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 350,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4.891018479324365e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-280/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b24afda93e4e710f127bbe58876ec444f3aab9815a86b8ed4adaaea5f43195c
+size 5841

checkpoint-350/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-v0.1
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-v0.1
+- 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

checkpoint-350/adapter_config.json

@@ -0,0 +1,41 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-350/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:398c96d782c28c185530fd6594ef96ecdb72cebc15e366df927f3af8b3380cd1
+size 13648432

checkpoint-350/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:224740fdd6ad4699a3c5076ffdfaaa45888c1da223b65bb6e20e526c79fc8b35
+size 27372875

checkpoint-350/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f7bd502cd3826f125a763a527deff95d974e41014bc6cb11143a5e3beb7cc43
+size 14645

checkpoint-350/scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d86b69d1fbba78938b84aa8cfaad376b8f1d072cda79280b10cc848524de8f36
+size 1383

checkpoint-350/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7158ddae4b548880fb00c95dcbdad5c142a1e17febae10f69c44e9da2e50fb8
+size 1465

checkpoint-350/trainer_state.json

@@ -0,0 +1,279 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 350,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.14285714285714285,
+      "grad_norm": 1.0640236139297485,
+      "learning_rate": 7.714285714285713e-05,
+      "loss": 5.2288,
+      "step": 10
+    },
+    {
+      "epoch": 0.2857142857142857,
+      "grad_norm": 0.8555219769477844,
+      "learning_rate": 0.00016285714285714284,
+      "loss": 5.2677,
+      "step": 20
+    },
+    {
+      "epoch": 0.42857142857142855,
+      "grad_norm": 0.5933736562728882,
+      "learning_rate": 0.00024857142857142857,
+      "loss": 5.1633,
+      "step": 30
+    },
+    {
+      "epoch": 0.5714285714285714,
+      "grad_norm": 0.8707918524742126,
+      "learning_rate": 0.00029619047619047615,
+      "loss": 5.204,
+      "step": 40
+    },
+    {
+      "epoch": 0.7142857142857143,
+      "grad_norm": 0.6754307746887207,
+      "learning_rate": 0.0002866666666666667,
+      "loss": 4.9108,
+      "step": 50
+    },
+    {
+      "epoch": 0.8571428571428571,
+      "grad_norm": 0.6422407627105713,
+      "learning_rate": 0.00027714285714285715,
+      "loss": 5.0247,
+      "step": 60
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.5896824598312378,
+      "learning_rate": 0.0002676190476190476,
+      "loss": 5.08,
+      "step": 70
+    },
+    {
+      "epoch": 1.1428571428571428,
+      "grad_norm": 0.7121039628982544,
+      "learning_rate": 0.0002580952380952381,
+      "loss": 4.9658,
+      "step": 80
+    },
+    {
+      "epoch": 1.2857142857142856,
+      "grad_norm": 0.5864871740341187,
+      "learning_rate": 0.00024857142857142857,
+      "loss": 5.1101,
+      "step": 90
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 0.7108164429664612,
+      "learning_rate": 0.000239047619047619,
+      "loss": 4.9746,
+      "step": 100
+    },
+    {
+      "epoch": 1.5714285714285714,
+      "grad_norm": 0.7295660376548767,
+      "learning_rate": 0.00022952380952380948,
+      "loss": 4.9954,
+      "step": 110
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "grad_norm": 0.7328065633773804,
+      "learning_rate": 0.00021999999999999995,
+      "loss": 4.9883,
+      "step": 120
+    },
+    {
+      "epoch": 1.8571428571428572,
+      "grad_norm": 0.5924595594406128,
+      "learning_rate": 0.00021047619047619045,
+      "loss": 5.015,
+      "step": 130
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.7102551460266113,
+      "learning_rate": 0.00020095238095238092,
+      "loss": 5.234,
+      "step": 140
+    },
+    {
+      "epoch": 2.142857142857143,
+      "grad_norm": 0.7643699645996094,
+      "learning_rate": 0.0001914285714285714,
+      "loss": 4.6638,
+      "step": 150
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "grad_norm": 0.9339743852615356,
+      "learning_rate": 0.00018190476190476187,
+      "loss": 5.1556,
+      "step": 160
+    },
+    {
+      "epoch": 2.4285714285714284,
+      "grad_norm": 5.603686332702637,
+      "learning_rate": 0.00017238095238095234,
+      "loss": 4.9549,
+      "step": 170
+    },
+    {
+      "epoch": 2.571428571428571,
+      "grad_norm": 0.9364807605743408,
+      "learning_rate": 0.00016285714285714284,
+      "loss": 4.8296,
+      "step": 180
+    },
+    {
+      "epoch": 2.7142857142857144,
+      "grad_norm": 0.9004333019256592,
+      "learning_rate": 0.0001533333333333333,
+      "loss": 4.9859,
+      "step": 190
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 0.9698410034179688,
+      "learning_rate": 0.0001438095238095238,
+      "loss": 5.1211,
+      "step": 200
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.7776105999946594,
+      "learning_rate": 0.00013428571428571428,
+      "loss": 5.1118,
+      "step": 210
+    },
+    {
+      "epoch": 3.142857142857143,
+      "grad_norm": 1.1164783239364624,
+      "learning_rate": 0.00012476190476190475,
+      "loss": 5.114,
+      "step": 220
+    },
+    {
+      "epoch": 3.2857142857142856,
+      "grad_norm": 1.2529207468032837,
+      "learning_rate": 0.00011523809523809524,
+      "loss": 4.8061,
+      "step": 230
+    },
+    {
+      "epoch": 3.4285714285714284,
+      "grad_norm": 1.016081690788269,
+      "learning_rate": 0.00010571428571428571,
+      "loss": 4.9263,
+      "step": 240
+    },
+    {
+      "epoch": 3.571428571428571,
+      "grad_norm": 1.0960956811904907,
+      "learning_rate": 9.61904761904762e-05,
+      "loss": 4.9537,
+      "step": 250
+    },
+    {
+      "epoch": 3.7142857142857144,
+      "grad_norm": 1.140113353729248,
+      "learning_rate": 8.666666666666665e-05,
+      "loss": 4.9409,
+      "step": 260
+    },
+    {
+      "epoch": 3.857142857142857,
+      "grad_norm": 1.1304645538330078,
+      "learning_rate": 7.714285714285713e-05,
+      "loss": 4.9235,
+      "step": 270
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 1.1090046167373657,
+      "learning_rate": 6.761904761904761e-05,
+      "loss": 4.7038,
+      "step": 280
+    },
+    {
+      "epoch": 4.142857142857143,
+      "grad_norm": 1.6535636186599731,
+      "learning_rate": 5.809523809523809e-05,
+      "loss": 5.0023,
+      "step": 290
+    },
+    {
+      "epoch": 4.285714285714286,
+      "grad_norm": 1.379711627960205,
+      "learning_rate": 4.857142857142857e-05,
+      "loss": 4.7972,
+      "step": 300
+    },
+    {
+      "epoch": 4.428571428571429,
+      "grad_norm": 1.4854538440704346,
+      "learning_rate": 3.904761904761905e-05,
+      "loss": 4.7301,
+      "step": 310
+    },
+    {
+      "epoch": 4.571428571428571,
+      "grad_norm": 1.2845839262008667,
+      "learning_rate": 2.952380952380952e-05,
+      "loss": 4.8406,
+      "step": 320
+    },
+    {
+      "epoch": 4.714285714285714,
+      "grad_norm": 1.410081386566162,
+      "learning_rate": 1.9999999999999998e-05,
+      "loss": 4.7386,
+      "step": 330
+    },
+    {
+      "epoch": 4.857142857142857,
+      "grad_norm": 1.364894151687622,
+      "learning_rate": 1.0476190476190475e-05,
+      "loss": 4.9646,
+      "step": 340
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 1.2417771816253662,
+      "learning_rate": 9.523809523809523e-07,
+      "loss": 4.86,
+      "step": 350
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 350,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.113773099155456e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-350/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b24afda93e4e710f127bbe58876ec444f3aab9815a86b8ed4adaaea5f43195c
+size 5841

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}