Upload folder using huggingface_hub

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/README.md

@@ -0,0 +1,209 @@
+---
+base_model: OpenLLM-France/Lucie-7B-Instruct-v1.1
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:OpenLLM-France/Lucie-7B-Instruct-v1.1
+- lora
+- sft
+- transformers
+- trl
+---
+
+# 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 0.18.1

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "OpenLLM-France/Lucie-7B-Instruct-v1.1",
+  "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": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "o_proj",
+    "q_proj",
+    "down_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce2e855620b377d75271547c1e7cde84ac8e3b4ac2bc0f03755288afd2b2e994
+size 310438848

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/chat_template.jinja

@@ -0,0 +1,11 @@
+{{- bos_token }}
+{%- for message in messages %}
+    {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '<|eot_id|>' }}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>
+
+' }}
+{%- endif %}

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f104017cc7de5371b70d4fa8f5fd64aef8f3209203d48035b9745ea4cda31be
+size 621135523

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c12fa959b3d022618152cf124d78d1e4ce483fc67159474596443201e695b1e1
+size 14645

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be0e932021d58d3c46733ca20dc12b546e8bd64bc0a440d710adc37c34a403eb
+size 1383

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d5afc7cb425cdf2abb313074f08754db5c388b7fa509c7334f0d3cc74674ca1
+size 1465

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/special_tokens_map.json

@@ -0,0 +1,35 @@
+{
+  "additional_special_tokens": [
+    "<|start_header_id|>",
+    "<|end_header_id|>",
+    "</s>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/tokenizer_config.json

@@ -0,0 +1,80 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "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": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "265": {
+      "content": "<|start_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "266": {
+      "content": "<|end_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "267": {
+      "content": "<|eot_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|start_header_id|>",
+    "<|end_header_id|>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|eot_id|>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1000000000000000000000000000000,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/trainer_state.json

@@ -0,0 +1,139 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 235,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "entropy": 3.7499064492418412,
+      "epoch": 1.0,
+      "grad_norm": 0.9642560482025146,
+      "learning_rate": 0.0002797304699599364,
+      "loss": 0.7333,
+      "mean_token_accuracy": 0.8501297398767573,
+      "num_tokens": 692920.0,
+      "step": 47
+    },
+    {
+      "epoch": 1.0,
+      "eval_entropy": 2.7802544269921645,
+      "eval_loss": 0.8006470799446106,
+      "eval_mean_token_accuracy": 0.8304393437673461,
+      "eval_num_tokens": 692920.0,
+      "eval_runtime": 44.5226,
+      "eval_samples_per_second": 9.366,
+      "eval_steps_per_second": 1.19,
+      "step": 47
+    },
+    {
+      "entropy": 2.5671899749877607,
+      "epoch": 2.0,
+      "grad_norm": 0.4164864718914032,
+      "learning_rate": 0.0002076421689131275,
+      "loss": 0.2456,
+      "mean_token_accuracy": 0.9561719120816982,
+      "num_tokens": 1385840.0,
+      "step": 94
+    },
+    {
+      "epoch": 2.0,
+      "eval_entropy": 2.435995686728999,
+      "eval_loss": 0.8782303333282471,
+      "eval_mean_token_accuracy": 0.8320053377241459,
+      "eval_num_tokens": 1385840.0,
+      "eval_runtime": 44.5588,
+      "eval_samples_per_second": 9.358,
+      "eval_steps_per_second": 1.189,
+      "step": 94
+    },
+    {
+      "entropy": 2.2784622308421643,
+      "epoch": 3.0,
+      "grad_norm": 0.2795032560825348,
+      "learning_rate": 0.00011201328669284817,
+      "loss": 0.2078,
+      "mean_token_accuracy": 0.9664047336641778,
+      "num_tokens": 2078760.0,
+      "step": 141
+    },
+    {
+      "epoch": 3.0,
+      "eval_entropy": 2.1754041212909625,
+      "eval_loss": 0.9303713440895081,
+      "eval_mean_token_accuracy": 0.832609661345212,
+      "eval_num_tokens": 2078760.0,
+      "eval_runtime": 44.4948,
+      "eval_samples_per_second": 9.372,
+      "eval_steps_per_second": 1.191,
+      "step": 141
+    },
+    {
+      "entropy": 2.151742284919353,
+      "epoch": 4.0,
+      "grad_norm": 0.08237670361995697,
+      "learning_rate": 3.1897861460421725e-05,
+      "loss": 0.2007,
+      "mean_token_accuracy": 0.9679941466831147,
+      "num_tokens": 2771680.0,
+      "step": 188
+    },
+    {
+      "epoch": 4.0,
+      "eval_entropy": 2.1466459575689063,
+      "eval_loss": 0.9717943072319031,
+      "eval_mean_token_accuracy": 0.8312592483916372,
+      "eval_num_tokens": 2771680.0,
+      "eval_runtime": 44.571,
+      "eval_samples_per_second": 9.356,
+      "eval_steps_per_second": 1.189,
+      "step": 188
+    },
+    {
+      "entropy": 2.1334138392133917,
+      "epoch": 5.0,
+      "grad_norm": 0.009746991097927094,
+      "learning_rate": 1.4364891911711197e-08,
+      "loss": 0.1956,
+      "mean_token_accuracy": 0.9678635383222965,
+      "num_tokens": 3464600.0,
+      "step": 235
+    },
+    {
+      "epoch": 5.0,
+      "eval_entropy": 2.1400151140284986,
+      "eval_loss": 0.977412760257721,
+      "eval_mean_token_accuracy": 0.8316984289097336,
+      "eval_num_tokens": 3464600.0,
+      "eval_runtime": 44.5252,
+      "eval_samples_per_second": 9.365,
+      "eval_steps_per_second": 1.19,
+      "step": 235
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 235,
+  "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": 1.8798223408172237e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

lucie/scn_750/params_training.lr=3e-4_training.num_epochs=5_training=large/checkpoint-235/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4deaafd059c3a2774685d16d75f5f0c87663b4f9fb7c8019fed695367f9f46e
+size 6289