Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
+library_name: peft
+---
+
+# 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 0.14.0

adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
+  "bias": "none",
+  "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": 16,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f488edd3bf4ddd4974c121a3ad7f7cc343a49338428f67f4502550ca4524cbf6
+size 167832240

checkpoint-100/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
+library_name: peft
+---
+
+# 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 0.14.0

checkpoint-100/adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
+  "bias": "none",
+  "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": 16,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-100/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f488edd3bf4ddd4974c121a3ad7f7cc343a49338428f67f4502550ca4524cbf6
+size 167832240

checkpoint-100/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eca99fd542497655079c1c8fb243564ac7dc22f0b5e7872b4954615f4a04bbef
+size 85723284

checkpoint-100/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608fccb6c056ce88cdfd5355e6be2046f4d107a24a87c6b0d2c3b200ce6bb4ea
+size 14244

checkpoint-100/scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac4a558c5b93581a5c41e2922404490319bcd15a10296c927a72a41012ff7f27
+size 988

checkpoint-100/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a60c7d771c1fd156acee762fba03c724cb41829a3f71df370ecd1d20b134982
+size 1064

checkpoint-100/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "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": {
+    "content": "[control_768]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-100/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
+size 587404

checkpoint-100/trainer_state.json

@@ -0,0 +1,734 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.008073794481561472,
+  "eval_steps": 500,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 8.073794481561473e-05,
+      "grad_norm": 1.4461750984191895,
+      "learning_rate": 0.0,
+      "loss": 1.2972,
+      "step": 1
+    },
+    {
+      "epoch": 0.00016147588963122945,
+      "grad_norm": 1.5243606567382812,
+      "learning_rate": 4e-05,
+      "loss": 1.3534,
+      "step": 2
+    },
+    {
+      "epoch": 0.00024221383444684416,
+      "grad_norm": 0.8831276893615723,
+      "learning_rate": 8e-05,
+      "loss": 1.2616,
+      "step": 3
+    },
+    {
+      "epoch": 0.0003229517792624589,
+      "grad_norm": 0.7445989847183228,
+      "learning_rate": 0.00012,
+      "loss": 1.1603,
+      "step": 4
+    },
+    {
+      "epoch": 0.0004036897240780736,
+      "grad_norm": 0.7170802354812622,
+      "learning_rate": 0.00016,
+      "loss": 1.0995,
+      "step": 5
+    },
+    {
+      "epoch": 0.0004844276688936883,
+      "grad_norm": 0.6993922591209412,
+      "learning_rate": 0.0002,
+      "loss": 1.0422,
+      "step": 6
+    },
+    {
+      "epoch": 0.0005651656137093031,
+      "grad_norm": 0.8005324006080627,
+      "learning_rate": 0.00019789473684210526,
+      "loss": 0.9699,
+      "step": 7
+    },
+    {
+      "epoch": 0.0006459035585249178,
+      "grad_norm": 0.7599121928215027,
+      "learning_rate": 0.00019578947368421054,
+      "loss": 0.8233,
+      "step": 8
+    },
+    {
+      "epoch": 0.0007266415033405324,
+      "grad_norm": 0.6091116070747375,
+      "learning_rate": 0.0001936842105263158,
+      "loss": 0.7983,
+      "step": 9
+    },
+    {
+      "epoch": 0.0008073794481561472,
+      "grad_norm": 0.5224089622497559,
+      "learning_rate": 0.00019157894736842104,
+      "loss": 0.7462,
+      "step": 10
+    },
+    {
+      "epoch": 0.0008881173929717619,
+      "grad_norm": 0.45331522822380066,
+      "learning_rate": 0.00018947368421052632,
+      "loss": 0.756,
+      "step": 11
+    },
+    {
+      "epoch": 0.0009688553377873766,
+      "grad_norm": 0.4153309166431427,
+      "learning_rate": 0.0001873684210526316,
+      "loss": 0.7931,
+      "step": 12
+    },
+    {
+      "epoch": 0.0010495932826029913,
+      "grad_norm": 0.3990932106971741,
+      "learning_rate": 0.00018526315789473685,
+      "loss": 0.7383,
+      "step": 13
+    },
+    {
+      "epoch": 0.0011303312274186061,
+      "grad_norm": 0.39721938967704773,
+      "learning_rate": 0.0001831578947368421,
+      "loss": 0.7421,
+      "step": 14
+    },
+    {
+      "epoch": 0.0012110691722342208,
+      "grad_norm": 0.37865254282951355,
+      "learning_rate": 0.00018105263157894739,
+      "loss": 0.7693,
+      "step": 15
+    },
+    {
+      "epoch": 0.0012918071170498356,
+      "grad_norm": 0.3562251627445221,
+      "learning_rate": 0.00017894736842105264,
+      "loss": 0.7291,
+      "step": 16
+    },
+    {
+      "epoch": 0.0013725450618654502,
+      "grad_norm": 0.3385823965072632,
+      "learning_rate": 0.0001768421052631579,
+      "loss": 0.7434,
+      "step": 17
+    },
+    {
+      "epoch": 0.0014532830066810649,
+      "grad_norm": 0.3341878652572632,
+      "learning_rate": 0.00017473684210526317,
+      "loss": 0.7304,
+      "step": 18
+    },
+    {
+      "epoch": 0.0015340209514966797,
+      "grad_norm": 0.3336416184902191,
+      "learning_rate": 0.00017263157894736842,
+      "loss": 0.7086,
+      "step": 19
+    },
+    {
+      "epoch": 0.0016147588963122943,
+      "grad_norm": 0.33498045802116394,
+      "learning_rate": 0.0001705263157894737,
+      "loss": 0.6607,
+      "step": 20
+    },
+    {
+      "epoch": 0.0016954968411279092,
+      "grad_norm": 0.34477856755256653,
+      "learning_rate": 0.00016842105263157895,
+      "loss": 0.714,
+      "step": 21
+    },
+    {
+      "epoch": 0.0017762347859435238,
+      "grad_norm": 0.3235958218574524,
+      "learning_rate": 0.00016631578947368423,
+      "loss": 0.7085,
+      "step": 22
+    },
+    {
+      "epoch": 0.0018569727307591385,
+      "grad_norm": 0.35956770181655884,
+      "learning_rate": 0.00016421052631578948,
+      "loss": 0.7186,
+      "step": 23
+    },
+    {
+      "epoch": 0.0019377106755747533,
+      "grad_norm": 0.317914754152298,
+      "learning_rate": 0.00016210526315789473,
+      "loss": 0.6949,
+      "step": 24
+    },
+    {
+      "epoch": 0.002018448620390368,
+      "grad_norm": 0.3337765336036682,
+      "learning_rate": 0.00016,
+      "loss": 0.6955,
+      "step": 25
+    },
+    {
+      "epoch": 0.0020991865652059826,
+      "grad_norm": 0.34514784812927246,
+      "learning_rate": 0.00015789473684210527,
+      "loss": 0.6717,
+      "step": 26
+    },
+    {
+      "epoch": 0.002179924510021597,
+      "grad_norm": 0.3283939063549042,
+      "learning_rate": 0.00015578947368421052,
+      "loss": 0.6593,
+      "step": 27
+    },
+    {
+      "epoch": 0.0022606624548372123,
+      "grad_norm": 0.33200809359550476,
+      "learning_rate": 0.0001536842105263158,
+      "loss": 0.693,
+      "step": 28
+    },
+    {
+      "epoch": 0.002341400399652827,
+      "grad_norm": 0.34666284918785095,
+      "learning_rate": 0.00015157894736842108,
+      "loss": 0.6988,
+      "step": 29
+    },
+    {
+      "epoch": 0.0024221383444684415,
+      "grad_norm": 0.37149596214294434,
+      "learning_rate": 0.00014947368421052633,
+      "loss": 0.6954,
+      "step": 30
+    },
+    {
+      "epoch": 0.002502876289284056,
+      "grad_norm": 0.3310442864894867,
+      "learning_rate": 0.00014736842105263158,
+      "loss": 0.69,
+      "step": 31
+    },
+    {
+      "epoch": 0.002583614234099671,
+      "grad_norm": 0.3307671844959259,
+      "learning_rate": 0.00014526315789473686,
+      "loss": 0.7114,
+      "step": 32
+    },
+    {
+      "epoch": 0.002664352178915286,
+      "grad_norm": 0.34910285472869873,
+      "learning_rate": 0.0001431578947368421,
+      "loss": 0.6726,
+      "step": 33
+    },
+    {
+      "epoch": 0.0027450901237309005,
+      "grad_norm": 0.32629451155662537,
+      "learning_rate": 0.00014105263157894736,
+      "loss": 0.6627,
+      "step": 34
+    },
+    {
+      "epoch": 0.002825828068546515,
+      "grad_norm": 0.3132249414920807,
+      "learning_rate": 0.00013894736842105264,
+      "loss": 0.6676,
+      "step": 35
+    },
+    {
+      "epoch": 0.0029065660133621297,
+      "grad_norm": 0.3174385130405426,
+      "learning_rate": 0.0001368421052631579,
+      "loss": 0.6912,
+      "step": 36
+    },
+    {
+      "epoch": 0.002987303958177745,
+      "grad_norm": 0.32051149010658264,
+      "learning_rate": 0.00013473684210526317,
+      "loss": 0.7093,
+      "step": 37
+    },
+    {
+      "epoch": 0.0030680419029933594,
+      "grad_norm": 0.350221186876297,
+      "learning_rate": 0.00013263157894736842,
+      "loss": 0.6999,
+      "step": 38
+    },
+    {
+      "epoch": 0.003148779847808974,
+      "grad_norm": 0.33227774500846863,
+      "learning_rate": 0.0001305263157894737,
+      "loss": 0.6852,
+      "step": 39
+    },
+    {
+      "epoch": 0.0032295177926245887,
+      "grad_norm": 0.30808618664741516,
+      "learning_rate": 0.00012842105263157895,
+      "loss": 0.6547,
+      "step": 40
+    },
+    {
+      "epoch": 0.0033102557374402033,
+      "grad_norm": 0.3285318613052368,
+      "learning_rate": 0.0001263157894736842,
+      "loss": 0.665,
+      "step": 41
+    },
+    {
+      "epoch": 0.0033909936822558184,
+      "grad_norm": 0.3193379342556,
+      "learning_rate": 0.00012421052631578949,
+      "loss": 0.6744,
+      "step": 42
+    },
+    {
+      "epoch": 0.003471731627071433,
+      "grad_norm": 0.29980984330177307,
+      "learning_rate": 0.00012210526315789474,
+      "loss": 0.6694,
+      "step": 43
+    },
+    {
+      "epoch": 0.0035524695718870476,
+      "grad_norm": 0.29726454615592957,
+      "learning_rate": 0.00012,
+      "loss": 0.7009,
+      "step": 44
+    },
+    {
+      "epoch": 0.0036332075167026623,
+      "grad_norm": 0.3046688139438629,
+      "learning_rate": 0.00011789473684210525,
+      "loss": 0.6931,
+      "step": 45
+    },
+    {
+      "epoch": 0.003713945461518277,
+      "grad_norm": 0.30899032950401306,
+      "learning_rate": 0.00011578947368421053,
+      "loss": 0.6672,
+      "step": 46
+    },
+    {
+      "epoch": 0.003794683406333892,
+      "grad_norm": 0.32200363278388977,
+      "learning_rate": 0.0001136842105263158,
+      "loss": 0.6233,
+      "step": 47
+    },
+    {
+      "epoch": 0.0038754213511495066,
+      "grad_norm": 0.30770131945610046,
+      "learning_rate": 0.00011157894736842105,
+      "loss": 0.7133,
+      "step": 48
+    },
+    {
+      "epoch": 0.003956159295965121,
+      "grad_norm": 0.31568217277526855,
+      "learning_rate": 0.00010947368421052633,
+      "loss": 0.6425,
+      "step": 49
+    },
+    {
+      "epoch": 0.004036897240780736,
+      "grad_norm": 0.3203376829624176,
+      "learning_rate": 0.00010736842105263158,
+      "loss": 0.6844,
+      "step": 50
+    },
+    {
+      "epoch": 0.0041176351855963505,
+      "grad_norm": 0.3009225130081177,
+      "learning_rate": 0.00010526315789473685,
+      "loss": 0.6549,
+      "step": 51
+    },
+    {
+      "epoch": 0.004198373130411965,
+      "grad_norm": 0.31444495916366577,
+      "learning_rate": 0.00010315789473684211,
+      "loss": 0.6583,
+      "step": 52
+    },
+    {
+      "epoch": 0.00427911107522758,
+      "grad_norm": 0.31305891275405884,
+      "learning_rate": 0.00010105263157894738,
+      "loss": 0.6635,
+      "step": 53
+    },
+    {
+      "epoch": 0.004359849020043194,
+      "grad_norm": 0.29481881856918335,
+      "learning_rate": 9.894736842105263e-05,
+      "loss": 0.6707,
+      "step": 54
+    },
+    {
+      "epoch": 0.00444058696485881,
+      "grad_norm": 0.31360143423080444,
+      "learning_rate": 9.68421052631579e-05,
+      "loss": 0.6486,
+      "step": 55
+    },
+    {
+      "epoch": 0.0045213249096744245,
+      "grad_norm": 0.33028149604797363,
+      "learning_rate": 9.473684210526316e-05,
+      "loss": 0.6825,
+      "step": 56
+    },
+    {
+      "epoch": 0.004602062854490039,
+      "grad_norm": 0.3195054233074188,
+      "learning_rate": 9.263157894736843e-05,
+      "loss": 0.6564,
+      "step": 57
+    },
+    {
+      "epoch": 0.004682800799305654,
+      "grad_norm": 0.3149634897708893,
+      "learning_rate": 9.052631578947369e-05,
+      "loss": 0.7034,
+      "step": 58
+    },
+    {
+      "epoch": 0.004763538744121268,
+      "grad_norm": 0.3093666434288025,
+      "learning_rate": 8.842105263157894e-05,
+      "loss": 0.7128,
+      "step": 59
+    },
+    {
+      "epoch": 0.004844276688936883,
+      "grad_norm": 0.3070853054523468,
+      "learning_rate": 8.631578947368421e-05,
+      "loss": 0.6541,
+      "step": 60
+    },
+    {
+      "epoch": 0.004925014633752498,
+      "grad_norm": 0.32141491770744324,
+      "learning_rate": 8.421052631578948e-05,
+      "loss": 0.6684,
+      "step": 61
+    },
+    {
+      "epoch": 0.005005752578568112,
+      "grad_norm": 0.32146668434143066,
+      "learning_rate": 8.210526315789474e-05,
+      "loss": 0.6286,
+      "step": 62
+    },
+    {
+      "epoch": 0.005086490523383727,
+      "grad_norm": 0.31124749779701233,
+      "learning_rate": 8e-05,
+      "loss": 0.6426,
+      "step": 63
+    },
+    {
+      "epoch": 0.005167228468199342,
+      "grad_norm": 0.29654479026794434,
+      "learning_rate": 7.789473684210526e-05,
+      "loss": 0.6714,
+      "step": 64
+    },
+    {
+      "epoch": 0.005247966413014957,
+      "grad_norm": 0.30790746212005615,
+      "learning_rate": 7.578947368421054e-05,
+      "loss": 0.7107,
+      "step": 65
+    },
+    {
+      "epoch": 0.005328704357830572,
+      "grad_norm": 0.308814138174057,
+      "learning_rate": 7.368421052631579e-05,
+      "loss": 0.6273,
+      "step": 66
+    },
+    {
+      "epoch": 0.005409442302646186,
+      "grad_norm": 0.3237323760986328,
+      "learning_rate": 7.157894736842105e-05,
+      "loss": 0.6641,
+      "step": 67
+    },
+    {
+      "epoch": 0.005490180247461801,
+      "grad_norm": 0.3249422609806061,
+      "learning_rate": 6.947368421052632e-05,
+      "loss": 0.696,
+      "step": 68
+    },
+    {
+      "epoch": 0.005570918192277416,
+      "grad_norm": 0.30125707387924194,
+      "learning_rate": 6.736842105263159e-05,
+      "loss": 0.6618,
+      "step": 69
+    },
+    {
+      "epoch": 0.00565165613709303,
+      "grad_norm": 0.317377507686615,
+      "learning_rate": 6.526315789473685e-05,
+      "loss": 0.6535,
+      "step": 70
+    },
+    {
+      "epoch": 0.005732394081908645,
+      "grad_norm": 0.32331615686416626,
+      "learning_rate": 6.31578947368421e-05,
+      "loss": 0.6685,
+      "step": 71
+    },
+    {
+      "epoch": 0.0058131320267242595,
+      "grad_norm": 0.3125118613243103,
+      "learning_rate": 6.105263157894737e-05,
+      "loss": 0.6281,
+      "step": 72
+    },
+    {
+      "epoch": 0.005893869971539874,
+      "grad_norm": 0.32349908351898193,
+      "learning_rate": 5.894736842105263e-05,
+      "loss": 0.6075,
+      "step": 73
+    },
+    {
+      "epoch": 0.00597460791635549,
+      "grad_norm": 0.3256225287914276,
+      "learning_rate": 5.68421052631579e-05,
+      "loss": 0.6647,
+      "step": 74
+    },
+    {
+      "epoch": 0.006055345861171104,
+      "grad_norm": 0.3693388104438782,
+      "learning_rate": 5.4736842105263165e-05,
+      "loss": 0.6905,
+      "step": 75
+    },
+    {
+      "epoch": 0.006136083805986719,
+      "grad_norm": 0.33075031638145447,
+      "learning_rate": 5.2631578947368424e-05,
+      "loss": 0.6702,
+      "step": 76
+    },
+    {
+      "epoch": 0.0062168217508023335,
+      "grad_norm": 0.3588313162326813,
+      "learning_rate": 5.052631578947369e-05,
+      "loss": 0.636,
+      "step": 77
+    },
+    {
+      "epoch": 0.006297559695617948,
+      "grad_norm": 0.35506919026374817,
+      "learning_rate": 4.842105263157895e-05,
+      "loss": 0.685,
+      "step": 78
+    },
+    {
+      "epoch": 0.006378297640433563,
+      "grad_norm": 0.35073211789131165,
+      "learning_rate": 4.6315789473684214e-05,
+      "loss": 0.6505,
+      "step": 79
+    },
+    {
+      "epoch": 0.006459035585249177,
+      "grad_norm": 0.36606553196907043,
+      "learning_rate": 4.421052631578947e-05,
+      "loss": 0.6535,
+      "step": 80
+    },
+    {
+      "epoch": 0.006539773530064792,
+      "grad_norm": 0.41430118680000305,
+      "learning_rate": 4.210526315789474e-05,
+      "loss": 0.6182,
+      "step": 81
+    },
+    {
+      "epoch": 0.006620511474880407,
+      "grad_norm": 0.3856939673423767,
+      "learning_rate": 4e-05,
+      "loss": 0.6624,
+      "step": 82
+    },
+    {
+      "epoch": 0.006701249419696021,
+      "grad_norm": 0.34175869822502136,
+      "learning_rate": 3.789473684210527e-05,
+      "loss": 0.6408,
+      "step": 83
+    },
+    {
+      "epoch": 0.006781987364511637,
+      "grad_norm": 0.311293363571167,
+      "learning_rate": 3.578947368421053e-05,
+      "loss": 0.6058,
+      "step": 84
+    },
+    {
+      "epoch": 0.006862725309327251,
+      "grad_norm": 0.3751486539840698,
+      "learning_rate": 3.368421052631579e-05,
+      "loss": 0.6752,
+      "step": 85
+    },
+    {
+      "epoch": 0.006943463254142866,
+      "grad_norm": 0.40762367844581604,
+      "learning_rate": 3.157894736842105e-05,
+      "loss": 0.6277,
+      "step": 86
+    },
+    {
+      "epoch": 0.007024201198958481,
+      "grad_norm": 0.45928341150283813,
+      "learning_rate": 2.9473684210526314e-05,
+      "loss": 0.622,
+      "step": 87
+    },
+    {
+      "epoch": 0.007104939143774095,
+      "grad_norm": 0.49499040842056274,
+      "learning_rate": 2.7368421052631583e-05,
+      "loss": 0.6527,
+      "step": 88
+    },
+    {
+      "epoch": 0.00718567708858971,
+      "grad_norm": 0.4424061179161072,
+      "learning_rate": 2.5263157894736845e-05,
+      "loss": 0.6253,
+      "step": 89
+    },
+    {
+      "epoch": 0.0072664150334053245,
+      "grad_norm": 0.3972907066345215,
+      "learning_rate": 2.3157894736842107e-05,
+      "loss": 0.6298,
+      "step": 90
+    },
+    {
+      "epoch": 0.007347152978220939,
+      "grad_norm": 0.33919885754585266,
+      "learning_rate": 2.105263157894737e-05,
+      "loss": 0.6506,
+      "step": 91
+    },
+    {
+      "epoch": 0.007427890923036554,
+      "grad_norm": 0.3223676085472107,
+      "learning_rate": 1.8947368421052634e-05,
+      "loss": 0.6577,
+      "step": 92
+    },
+    {
+      "epoch": 0.007508628867852168,
+      "grad_norm": 0.3162674009799957,
+      "learning_rate": 1.6842105263157896e-05,
+      "loss": 0.6765,
+      "step": 93
+    },
+    {
+      "epoch": 0.007589366812667784,
+      "grad_norm": 0.3220762014389038,
+      "learning_rate": 1.4736842105263157e-05,
+      "loss": 0.6769,
+      "step": 94
+    },
+    {
+      "epoch": 0.0076701047574833986,
+      "grad_norm": 0.36191388964653015,
+      "learning_rate": 1.2631578947368422e-05,
+      "loss": 0.621,
+      "step": 95
+    },
+    {
+      "epoch": 0.007750842702299013,
+      "grad_norm": 0.37017276883125305,
+      "learning_rate": 1.0526315789473684e-05,
+      "loss": 0.7032,
+      "step": 96
+    },
+    {
+      "epoch": 0.007831580647114627,
+      "grad_norm": 0.40599679946899414,
+      "learning_rate": 8.421052631578948e-06,
+      "loss": 0.5957,
+      "step": 97
+    },
+    {
+      "epoch": 0.007912318591930242,
+      "grad_norm": 0.3483966290950775,
+      "learning_rate": 6.315789473684211e-06,
+      "loss": 0.6496,
+      "step": 98
+    },
+    {
+      "epoch": 0.007993056536745858,
+      "grad_norm": 0.36802637577056885,
+      "learning_rate": 4.210526315789474e-06,
+      "loss": 0.6846,
+      "step": 99
+    },
+    {
+      "epoch": 0.008073794481561472,
+      "grad_norm": 0.35597506165504456,
+      "learning_rate": 2.105263157894737e-06,
+      "loss": 0.6393,
+      "step": 100
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "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": 4.472992781996851e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-100/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5c905f6f1757593ed8f900861ad22a00f8191801db330384b29e6bb3dc5275a
+size 5560

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "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": {
+    "content": "[control_768]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
+size 587404