Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: unsloth/Phi-3-mini-4k-instruct-bnb-4bit
+---
+
+# 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 0.11.1

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit",
+  "bias": "none",
+  "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_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
+    "gate_proj",
+    "down_proj",
+    "up_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96f7761186ce9f4ca3f7708bd15ab4c53686f57f77e1f50af6c1df038088a04d
+size 119597408

added_tokens.json

@@ -0,0 +1,13 @@
+{
+  "<|assistant|>": 32001,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|placeholder1|>": 32002,
+  "<|placeholder2|>": 32003,
+  "<|placeholder3|>": 32004,
+  "<|placeholder4|>": 32005,
+  "<|placeholder5|>": 32008,
+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

all_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 1.0,
+    "train_loss": 0.7032270744593456,
+    "train_runtime": 3353.7827,
+    "train_samples_per_second": 0.943,
+    "train_steps_per_second": 0.059
+}

checkpoint-100/README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: unsloth/Phi-3-mini-4k-instruct-bnb-4bit
+---
+
+# 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 0.11.1

checkpoint-100/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit",
+  "bias": "none",
+  "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_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
+    "gate_proj",
+    "down_proj",
+    "up_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

checkpoint-100/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47df72b2586dcbb6a3eb3ec0d79d41d99e8e052b716b948fcf5845e5d37b7935
+size 239135488

checkpoint-100/added_tokens.json

@@ -0,0 +1,13 @@
+{
+  "<|assistant|>": 32001,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|placeholder1|>": 32002,
+  "<|placeholder2|>": 32003,
+  "<|placeholder3|>": 32004,
+  "<|placeholder4|>": 32005,
+  "<|placeholder5|>": 32008,
+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

checkpoint-100/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2e16d65739aeeba809b3f811da3a367e1e8b1d5f1530a202b3980e0870e8429
+size 120296276

checkpoint-100/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f9f1f3defe7d022b6fe26129c6021d1cffdc5913e9ce09542ec72062cd96625
+size 14244

checkpoint-100/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59ee17e529c59c2cbfc96d2d16f83a4d9fc68a5d0d3c14fd406142978bb2f936
+size 1064

checkpoint-100/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "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 sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

checkpoint-100/tokenizer_config.json

@@ -0,0 +1,130 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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": true,
+      "single_word": false,
+      "special": false
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-100/trainer_state.json

@@ -0,0 +1,349 @@
+{
+  "best_metric": 0.7562676668167114,
+  "best_model_checkpoint": "./output/checkpoints/2024-05-27_09-00-27/checkpoint-100",
+  "epoch": 0.5050505050505051,
+  "eval_steps": 100,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.025252525252525252,
+      "grad_norm": 31.540218353271484,
+      "learning_rate": 6e-06,
+      "logits/chosen": 0.14386241137981415,
+      "logits/rejected": -0.5877799391746521,
+      "logps/chosen": -220.9837646484375,
+      "logps/rejected": -171.7880096435547,
+      "loss": 0.6932,
+      "rewards/accuracies": 0.11249999701976776,
+      "rewards/chosen": 0.004091186448931694,
+      "rewards/margins": -7.568336877739057e-05,
+      "rewards/rejected": 0.004166870377957821,
+      "step": 5
+    },
+    {
+      "epoch": 0.050505050505050504,
+      "grad_norm": 23.380859375,
+      "learning_rate": 1.6000000000000003e-05,
+      "logits/chosen": -0.10832454264163971,
+      "logits/rejected": -0.4757871627807617,
+      "logps/chosen": -196.83120727539062,
+      "logps/rejected": -171.42141723632812,
+      "loss": 0.6684,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 0.33129221200942993,
+      "rewards/margins": 0.08790162205696106,
+      "rewards/rejected": 0.24339056015014648,
+      "step": 10
+    },
+    {
+      "epoch": 0.07575757575757576,
+      "grad_norm": 23.615068435668945,
+      "learning_rate": 2.6000000000000002e-05,
+      "logits/chosen": -0.2714936137199402,
+      "logits/rejected": -0.6976348161697388,
+      "logps/chosen": -209.19827270507812,
+      "logps/rejected": -173.0024871826172,
+      "loss": 0.6943,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 1.1716283559799194,
+      "rewards/margins": 0.2701141834259033,
+      "rewards/rejected": 0.9015142321586609,
+      "step": 15
+    },
+    {
+      "epoch": 0.10101010101010101,
+      "grad_norm": 23.117158889770508,
+      "learning_rate": 3.6e-05,
+      "logits/chosen": -0.4857279658317566,
+      "logits/rejected": -0.9330118298530579,
+      "logps/chosen": -202.5274200439453,
+      "logps/rejected": -176.1457977294922,
+      "loss": 0.6632,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 1.3160903453826904,
+      "rewards/margins": 0.552257239818573,
+      "rewards/rejected": 0.7638329863548279,
+      "step": 20
+    },
+    {
+      "epoch": 0.12626262626262627,
+      "grad_norm": 31.966520309448242,
+      "learning_rate": 3.997197144003557e-05,
+      "logits/chosen": 0.038466982543468475,
+      "logits/rejected": -0.503484845161438,
+      "logps/chosen": -225.3045196533203,
+      "logps/rejected": -201.3688201904297,
+      "loss": 0.6399,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 0.8800640106201172,
+      "rewards/margins": 0.41275835037231445,
+      "rewards/rejected": 0.46730566024780273,
+      "step": 25
+    },
+    {
+      "epoch": 0.15151515151515152,
+      "grad_norm": 33.95348358154297,
+      "learning_rate": 3.980097021028909e-05,
+      "logits/chosen": -0.036555200815200806,
+      "logits/rejected": -0.4494614005088806,
+      "logps/chosen": -230.3584747314453,
+      "logps/rejected": -197.8057098388672,
+      "loss": 0.7822,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": 0.15881267189979553,
+      "rewards/margins": 0.23805825412273407,
+      "rewards/rejected": -0.07924561202526093,
+      "step": 30
+    },
+    {
+      "epoch": 0.17676767676767677,
+      "grad_norm": 30.72279930114746,
+      "learning_rate": 3.947586836927601e-05,
+      "logits/chosen": -0.24093489348888397,
+      "logits/rejected": -0.8071072697639465,
+      "logps/chosen": -206.206787109375,
+      "logps/rejected": -173.3004608154297,
+      "loss": 0.6694,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": 0.3433918356895447,
+      "rewards/margins": 0.5247436761856079,
+      "rewards/rejected": -0.18135181069374084,
+      "step": 35
+    },
+    {
+      "epoch": 0.20202020202020202,
+      "grad_norm": 29.44301986694336,
+      "learning_rate": 3.899919601485982e-05,
+      "logits/chosen": -0.5006700754165649,
+      "logits/rejected": -1.0141886472702026,
+      "logps/chosen": -211.9564666748047,
+      "logps/rejected": -185.8589630126953,
+      "loss": 0.6946,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": 0.9416486620903015,
+      "rewards/margins": 0.5160013437271118,
+      "rewards/rejected": 0.4256472587585449,
+      "step": 40
+    },
+    {
+      "epoch": 0.22727272727272727,
+      "grad_norm": 21.33418083190918,
+      "learning_rate": 3.837466283906112e-05,
+      "logits/chosen": -0.37220650911331177,
+      "logits/rejected": -1.1134871244430542,
+      "logps/chosen": -203.7546844482422,
+      "logps/rejected": -160.15695190429688,
+      "loss": 0.7258,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": 1.9558101892471313,
+      "rewards/margins": 0.6899305582046509,
+      "rewards/rejected": 1.2658796310424805,
+      "step": 45
+    },
+    {
+      "epoch": 0.25252525252525254,
+      "grad_norm": 29.768083572387695,
+      "learning_rate": 3.760712925746183e-05,
+      "logits/chosen": -0.40102189779281616,
+      "logits/rejected": -0.8553081750869751,
+      "logps/chosen": -213.06222534179688,
+      "logps/rejected": -184.9990997314453,
+      "loss": 0.7829,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": 2.8542065620422363,
+      "rewards/margins": 1.1129443645477295,
+      "rewards/rejected": 1.7412618398666382,
+      "step": 50
+    },
+    {
+      "epoch": 0.2777777777777778,
+      "grad_norm": 21.650400161743164,
+      "learning_rate": 3.6702568583128715e-05,
+      "logits/chosen": -0.5856252908706665,
+      "logits/rejected": -1.2530784606933594,
+      "logps/chosen": -204.8536834716797,
+      "logps/rejected": -151.60122680664062,
+      "loss": 0.6457,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": 1.6728694438934326,
+      "rewards/margins": 1.0119760036468506,
+      "rewards/rejected": 0.6608934998512268,
+      "step": 55
+    },
+    {
+      "epoch": 0.30303030303030304,
+      "grad_norm": 25.246517181396484,
+      "learning_rate": 3.566802053943705e-05,
+      "logits/chosen": -0.56941157579422,
+      "logits/rejected": -1.02021062374115,
+      "logps/chosen": -209.837158203125,
+      "logps/rejected": -172.53732299804688,
+      "loss": 0.763,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": 1.4966418743133545,
+      "rewards/margins": 0.739094078540802,
+      "rewards/rejected": 0.7575478553771973,
+      "step": 60
+    },
+    {
+      "epoch": 0.3282828282828283,
+      "grad_norm": 17.691490173339844,
+      "learning_rate": 3.451153647357965e-05,
+      "logits/chosen": -0.05042291432619095,
+      "logits/rejected": -0.6024894118309021,
+      "logps/chosen": -234.263427734375,
+      "logps/rejected": -189.74607849121094,
+      "loss": 0.7844,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": 1.7601999044418335,
+      "rewards/margins": 0.520693302154541,
+      "rewards/rejected": 1.2395066022872925,
+      "step": 65
+    },
+    {
+      "epoch": 0.35353535353535354,
+      "grad_norm": 26.0878849029541,
+      "learning_rate": 3.3242116697136015e-05,
+      "logits/chosen": -0.10399909317493439,
+      "logits/rejected": -0.5000227093696594,
+      "logps/chosen": -210.8389434814453,
+      "logps/rejected": -188.54824829101562,
+      "loss": 0.7101,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 1.1393743753433228,
+      "rewards/margins": 0.3506864905357361,
+      "rewards/rejected": 0.7886878848075867,
+      "step": 70
+    },
+    {
+      "epoch": 0.3787878787878788,
+      "grad_norm": 24.767913818359375,
+      "learning_rate": 3.186964044134713e-05,
+      "logits/chosen": -0.6071327328681946,
+      "logits/rejected": -0.8622013926506042,
+      "logps/chosen": -188.81149291992188,
+      "logps/rejected": -173.66650390625,
+      "loss": 0.769,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 0.9471501111984253,
+      "rewards/margins": 0.3631848394870758,
+      "rewards/rejected": 0.5839653611183167,
+      "step": 75
+    },
+    {
+      "epoch": 0.40404040404040403,
+      "grad_norm": 27.299219131469727,
+      "learning_rate": 3.0404788972217645e-05,
+      "logits/chosen": -0.47333812713623047,
+      "logits/rejected": -0.855948805809021,
+      "logps/chosen": -232.19448852539062,
+      "logps/rejected": -185.18539428710938,
+      "loss": 0.7493,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": 1.0035685300827026,
+      "rewards/margins": 0.4641413688659668,
+      "rewards/rejected": 0.5394272208213806,
+      "step": 80
+    },
+    {
+      "epoch": 0.4292929292929293,
+      "grad_norm": 11.157441139221191,
+      "learning_rate": 2.8858962463800163e-05,
+      "logits/chosen": -0.3463514745235443,
+      "logits/rejected": -1.0284178256988525,
+      "logps/chosen": -227.76937866210938,
+      "logps/rejected": -173.3926239013672,
+      "loss": 0.7012,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": 1.2513014078140259,
+      "rewards/margins": 0.724143922328949,
+      "rewards/rejected": 0.5271574854850769,
+      "step": 85
+    },
+    {
+      "epoch": 0.45454545454545453,
+      "grad_norm": 21.36394500732422,
+      "learning_rate": 2.7244191276593653e-05,
+      "logits/chosen": -0.396036297082901,
+      "logits/rejected": -0.6990352272987366,
+      "logps/chosen": -198.6284942626953,
+      "logps/rejected": -180.7591094970703,
+      "loss": 0.7398,
+      "rewards/accuracies": 0.5625,
+      "rewards/chosen": 1.1550531387329102,
+      "rewards/margins": 0.42906150221824646,
+      "rewards/rejected": 0.7259916067123413,
+      "step": 90
+    },
+    {
+      "epoch": 0.4797979797979798,
+      "grad_norm": 21.15500831604004,
+      "learning_rate": 2.5573042331529846e-05,
+      "logits/chosen": -0.5320285558700562,
+      "logits/rejected": -0.9789053797721863,
+      "logps/chosen": -216.59359741210938,
+      "logps/rejected": -175.47976684570312,
+      "loss": 0.7284,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 1.1451869010925293,
+      "rewards/margins": 0.508368968963623,
+      "rewards/rejected": 0.6368179321289062,
+      "step": 95
+    },
+    {
+      "epoch": 0.5050505050505051,
+      "grad_norm": 25.441944122314453,
+      "learning_rate": 2.385852130818994e-05,
+      "logits/chosen": -0.38838592171669006,
+      "logits/rejected": -0.7203149795532227,
+      "logps/chosen": -212.9621124267578,
+      "logps/rejected": -187.50942993164062,
+      "loss": 0.7677,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": 1.5237963199615479,
+      "rewards/margins": 0.5711702108383179,
+      "rewards/rejected": 0.95262610912323,
+      "step": 100
+    },
+    {
+      "epoch": 0.5050505050505051,
+      "eval_logits/chosen": 1.4398491382598877,
+      "eval_logits/rejected": 1.2089641094207764,
+      "eval_logps/chosen": -209.8059844970703,
+      "eval_logps/rejected": -178.4928741455078,
+      "eval_loss": 0.7562676668167114,
+      "eval_rewards/accuracies": 0.59375,
+      "eval_rewards/chosen": 1.1455074548721313,
+      "eval_rewards/margins": 0.41021832823753357,
+      "eval_rewards/rejected": 0.7352891564369202,
+      "eval_runtime": 274.7063,
+      "eval_samples_per_second": 2.33,
+      "eval_steps_per_second": 0.146,
+      "step": 100
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 198,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-100/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e8df987ab1a6815bd6946e06268269b8f689faea05ae14e140fda0e9c54e30d
+size 5688

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "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 sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,130 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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": true,
+      "single_word": false,
+      "special": false
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 1.0,
+    "train_loss": 0.7032270744593456,
+    "train_runtime": 3353.7827,
+    "train_samples_per_second": 0.943,
+    "train_steps_per_second": 0.059
+}

trainer_state.json

@@ -0,0 +1,643 @@
+{
+  "best_metric": 0.7562676668167114,
+  "best_model_checkpoint": "./output/checkpoints/2024-05-27_09-00-27/checkpoint-100",
+  "epoch": 1.0,
+  "eval_steps": 100,
+  "global_step": 198,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.025252525252525252,
+      "grad_norm": 31.540218353271484,
+      "learning_rate": 6e-06,
+      "logits/chosen": 0.14386241137981415,
+      "logits/rejected": -0.5877799391746521,
+      "logps/chosen": -220.9837646484375,
+      "logps/rejected": -171.7880096435547,
+      "loss": 0.6932,
+      "rewards/accuracies": 0.11249999701976776,
+      "rewards/chosen": 0.004091186448931694,
+      "rewards/margins": -7.568336877739057e-05,
+      "rewards/rejected": 0.004166870377957821,
+      "step": 5
+    },
+    {
+      "epoch": 0.050505050505050504,
+      "grad_norm": 23.380859375,
+      "learning_rate": 1.6000000000000003e-05,
+      "logits/chosen": -0.10832454264163971,
+      "logits/rejected": -0.4757871627807617,
+      "logps/chosen": -196.83120727539062,
+      "logps/rejected": -171.42141723632812,
+      "loss": 0.6684,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 0.33129221200942993,
+      "rewards/margins": 0.08790162205696106,
+      "rewards/rejected": 0.24339056015014648,
+      "step": 10
+    },
+    {
+      "epoch": 0.07575757575757576,
+      "grad_norm": 23.615068435668945,
+      "learning_rate": 2.6000000000000002e-05,
+      "logits/chosen": -0.2714936137199402,
+      "logits/rejected": -0.6976348161697388,
+      "logps/chosen": -209.19827270507812,
+      "logps/rejected": -173.0024871826172,
+      "loss": 0.6943,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 1.1716283559799194,
+      "rewards/margins": 0.2701141834259033,
+      "rewards/rejected": 0.9015142321586609,
+      "step": 15
+    },
+    {
+      "epoch": 0.10101010101010101,
+      "grad_norm": 23.117158889770508,
+      "learning_rate": 3.6e-05,
+      "logits/chosen": -0.4857279658317566,
+      "logits/rejected": -0.9330118298530579,
+      "logps/chosen": -202.5274200439453,
+      "logps/rejected": -176.1457977294922,
+      "loss": 0.6632,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 1.3160903453826904,
+      "rewards/margins": 0.552257239818573,
+      "rewards/rejected": 0.7638329863548279,
+      "step": 20
+    },
+    {
+      "epoch": 0.12626262626262627,
+      "grad_norm": 31.966520309448242,
+      "learning_rate": 3.997197144003557e-05,
+      "logits/chosen": 0.038466982543468475,
+      "logits/rejected": -0.503484845161438,
+      "logps/chosen": -225.3045196533203,
+      "logps/rejected": -201.3688201904297,
+      "loss": 0.6399,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 0.8800640106201172,
+      "rewards/margins": 0.41275835037231445,
+      "rewards/rejected": 0.46730566024780273,
+      "step": 25
+    },
+    {
+      "epoch": 0.15151515151515152,
+      "grad_norm": 33.95348358154297,
+      "learning_rate": 3.980097021028909e-05,
+      "logits/chosen": -0.036555200815200806,
+      "logits/rejected": -0.4494614005088806,
+      "logps/chosen": -230.3584747314453,
+      "logps/rejected": -197.8057098388672,
+      "loss": 0.7822,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": 0.15881267189979553,
+      "rewards/margins": 0.23805825412273407,
+      "rewards/rejected": -0.07924561202526093,
+      "step": 30
+    },
+    {
+      "epoch": 0.17676767676767677,
+      "grad_norm": 30.72279930114746,
+      "learning_rate": 3.947586836927601e-05,
+      "logits/chosen": -0.24093489348888397,
+      "logits/rejected": -0.8071072697639465,
+      "logps/chosen": -206.206787109375,
+      "logps/rejected": -173.3004608154297,
+      "loss": 0.6694,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": 0.3433918356895447,
+      "rewards/margins": 0.5247436761856079,
+      "rewards/rejected": -0.18135181069374084,
+      "step": 35
+    },
+    {
+      "epoch": 0.20202020202020202,
+      "grad_norm": 29.44301986694336,
+      "learning_rate": 3.899919601485982e-05,
+      "logits/chosen": -0.5006700754165649,
+      "logits/rejected": -1.0141886472702026,
+      "logps/chosen": -211.9564666748047,
+      "logps/rejected": -185.8589630126953,
+      "loss": 0.6946,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": 0.9416486620903015,
+      "rewards/margins": 0.5160013437271118,
+      "rewards/rejected": 0.4256472587585449,
+      "step": 40
+    },
+    {
+      "epoch": 0.22727272727272727,
+      "grad_norm": 21.33418083190918,
+      "learning_rate": 3.837466283906112e-05,
+      "logits/chosen": -0.37220650911331177,
+      "logits/rejected": -1.1134871244430542,
+      "logps/chosen": -203.7546844482422,
+      "logps/rejected": -160.15695190429688,
+      "loss": 0.7258,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": 1.9558101892471313,
+      "rewards/margins": 0.6899305582046509,
+      "rewards/rejected": 1.2658796310424805,
+      "step": 45
+    },
+    {
+      "epoch": 0.25252525252525254,
+      "grad_norm": 29.768083572387695,
+      "learning_rate": 3.760712925746183e-05,
+      "logits/chosen": -0.40102189779281616,
+      "logits/rejected": -0.8553081750869751,
+      "logps/chosen": -213.06222534179688,
+      "logps/rejected": -184.9990997314453,
+      "loss": 0.7829,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": 2.8542065620422363,
+      "rewards/margins": 1.1129443645477295,
+      "rewards/rejected": 1.7412618398666382,
+      "step": 50
+    },
+    {
+      "epoch": 0.2777777777777778,
+      "grad_norm": 21.650400161743164,
+      "learning_rate": 3.6702568583128715e-05,
+      "logits/chosen": -0.5856252908706665,
+      "logits/rejected": -1.2530784606933594,
+      "logps/chosen": -204.8536834716797,
+      "logps/rejected": -151.60122680664062,
+      "loss": 0.6457,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": 1.6728694438934326,
+      "rewards/margins": 1.0119760036468506,
+      "rewards/rejected": 0.6608934998512268,
+      "step": 55
+    },
+    {
+      "epoch": 0.30303030303030304,
+      "grad_norm": 25.246517181396484,
+      "learning_rate": 3.566802053943705e-05,
+      "logits/chosen": -0.56941157579422,
+      "logits/rejected": -1.02021062374115,
+      "logps/chosen": -209.837158203125,
+      "logps/rejected": -172.53732299804688,
+      "loss": 0.763,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": 1.4966418743133545,
+      "rewards/margins": 0.739094078540802,
+      "rewards/rejected": 0.7575478553771973,
+      "step": 60
+    },
+    {
+      "epoch": 0.3282828282828283,
+      "grad_norm": 17.691490173339844,
+      "learning_rate": 3.451153647357965e-05,
+      "logits/chosen": -0.05042291432619095,
+      "logits/rejected": -0.6024894118309021,
+      "logps/chosen": -234.263427734375,
+      "logps/rejected": -189.74607849121094,
+      "loss": 0.7844,
+      "rewards/accuracies": 0.5874999761581421,
+      "rewards/chosen": 1.7601999044418335,
+      "rewards/margins": 0.520693302154541,
+      "rewards/rejected": 1.2395066022872925,
+      "step": 65
+    },
+    {
+      "epoch": 0.35353535353535354,
+      "grad_norm": 26.0878849029541,
+      "learning_rate": 3.3242116697136015e-05,
+      "logits/chosen": -0.10399909317493439,
+      "logits/rejected": -0.5000227093696594,
+      "logps/chosen": -210.8389434814453,
+      "logps/rejected": -188.54824829101562,
+      "loss": 0.7101,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 1.1393743753433228,
+      "rewards/margins": 0.3506864905357361,
+      "rewards/rejected": 0.7886878848075867,
+      "step": 70
+    },
+    {
+      "epoch": 0.3787878787878788,
+      "grad_norm": 24.767913818359375,
+      "learning_rate": 3.186964044134713e-05,
+      "logits/chosen": -0.6071327328681946,
+      "logits/rejected": -0.8622013926506042,
+      "logps/chosen": -188.81149291992188,
+      "logps/rejected": -173.66650390625,
+      "loss": 0.769,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 0.9471501111984253,
+      "rewards/margins": 0.3631848394870758,
+      "rewards/rejected": 0.5839653611183167,
+      "step": 75
+    },
+    {
+      "epoch": 0.40404040404040403,
+      "grad_norm": 27.299219131469727,
+      "learning_rate": 3.0404788972217645e-05,
+      "logits/chosen": -0.47333812713623047,
+      "logits/rejected": -0.855948805809021,
+      "logps/chosen": -232.19448852539062,
+      "logps/rejected": -185.18539428710938,
+      "loss": 0.7493,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": 1.0035685300827026,
+      "rewards/margins": 0.4641413688659668,
+      "rewards/rejected": 0.5394272208213806,
+      "step": 80
+    },
+    {
+      "epoch": 0.4292929292929293,
+      "grad_norm": 11.157441139221191,
+      "learning_rate": 2.8858962463800163e-05,
+      "logits/chosen": -0.3463514745235443,
+      "logits/rejected": -1.0284178256988525,
+      "logps/chosen": -227.76937866210938,
+      "logps/rejected": -173.3926239013672,
+      "loss": 0.7012,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": 1.2513014078140259,
+      "rewards/margins": 0.724143922328949,
+      "rewards/rejected": 0.5271574854850769,
+      "step": 85
+    },
+    {
+      "epoch": 0.45454545454545453,
+      "grad_norm": 21.36394500732422,
+      "learning_rate": 2.7244191276593653e-05,
+      "logits/chosen": -0.396036297082901,
+      "logits/rejected": -0.6990352272987366,
+      "logps/chosen": -198.6284942626953,
+      "logps/rejected": -180.7591094970703,
+      "loss": 0.7398,
+      "rewards/accuracies": 0.5625,
+      "rewards/chosen": 1.1550531387329102,
+      "rewards/margins": 0.42906150221824646,
+      "rewards/rejected": 0.7259916067123413,
+      "step": 90
+    },
+    {
+      "epoch": 0.4797979797979798,
+      "grad_norm": 21.15500831604004,
+      "learning_rate": 2.5573042331529846e-05,
+      "logits/chosen": -0.5320285558700562,
+      "logits/rejected": -0.9789053797721863,
+      "logps/chosen": -216.59359741210938,
+      "logps/rejected": -175.47976684570312,
+      "loss": 0.7284,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 1.1451869010925293,
+      "rewards/margins": 0.508368968963623,
+      "rewards/rejected": 0.6368179321289062,
+      "step": 95
+    },
+    {
+      "epoch": 0.5050505050505051,
+      "grad_norm": 25.441944122314453,
+      "learning_rate": 2.385852130818994e-05,
+      "logits/chosen": -0.38838592171669006,
+      "logits/rejected": -0.7203149795532227,
+      "logps/chosen": -212.9621124267578,
+      "logps/rejected": -187.50942993164062,
+      "loss": 0.7677,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": 1.5237963199615479,
+      "rewards/margins": 0.5711702108383179,
+      "rewards/rejected": 0.95262610912323,
+      "step": 100
+    },
+    {
+      "epoch": 0.5050505050505051,
+      "eval_logits/chosen": 1.4398491382598877,
+      "eval_logits/rejected": 1.2089641094207764,
+      "eval_logps/chosen": -209.8059844970703,
+      "eval_logps/rejected": -178.4928741455078,
+      "eval_loss": 0.7562676668167114,
+      "eval_rewards/accuracies": 0.59375,
+      "eval_rewards/chosen": 1.1455074548721313,
+      "eval_rewards/margins": 0.41021832823753357,
+      "eval_rewards/rejected": 0.7352891564369202,
+      "eval_runtime": 274.7063,
+      "eval_samples_per_second": 2.33,
+      "eval_steps_per_second": 0.146,
+      "step": 100
+    },
+    {
+      "epoch": 0.5303030303030303,
+      "grad_norm": 18.52869415283203,
+      "learning_rate": 2.2113971428391862e-05,
+      "logits/chosen": -0.5178086757659912,
+      "logits/rejected": -1.0226086378097534,
+      "logps/chosen": -208.1871795654297,
+      "logps/rejected": -171.2388458251953,
+      "loss": 0.7824,
+      "rewards/accuracies": 0.6000000238418579,
+      "rewards/chosen": 0.9819921255111694,
+      "rewards/margins": 0.44732803106307983,
+      "rewards/rejected": 0.5346641540527344,
+      "step": 105
+    },
+    {
+      "epoch": 0.5555555555555556,
+      "grad_norm": 18.219402313232422,
+      "learning_rate": 2.0352969612862576e-05,
+      "logits/chosen": -0.5200484395027161,
+      "logits/rejected": -0.8673607707023621,
+      "logps/chosen": -207.2660369873047,
+      "logps/rejected": -179.528564453125,
+      "loss": 0.6481,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 0.8134071230888367,
+      "rewards/margins": 0.5864471197128296,
+      "rewards/rejected": 0.2269599884748459,
+      "step": 110
+    },
+    {
+      "epoch": 0.5808080808080808,
+      "grad_norm": 22.682283401489258,
+      "learning_rate": 1.858922081915378e-05,
+      "logits/chosen": -0.3367950916290283,
+      "logits/rejected": -0.7870457768440247,
+      "logps/chosen": -187.28225708007812,
+      "logps/rejected": -167.66563415527344,
+      "loss": 0.6859,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": 1.0122456550598145,
+      "rewards/margins": 0.42765671014785767,
+      "rewards/rejected": 0.5845889449119568,
+      "step": 115
+    },
+    {
+      "epoch": 0.6060606060606061,
+      "grad_norm": 21.8991756439209,
+      "learning_rate": 1.6836451383113923e-05,
+      "logits/chosen": -0.6206024885177612,
+      "logits/rejected": -1.1339770555496216,
+      "logps/chosen": -216.4201202392578,
+      "logps/rejected": -181.8843536376953,
+      "loss": 0.7218,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": 1.1707611083984375,
+      "rewards/margins": 0.4338921010494232,
+      "rewards/rejected": 0.7368690371513367,
+      "step": 120
+    },
+    {
+      "epoch": 0.6313131313131313,
+      "grad_norm": 26.37303352355957,
+      "learning_rate": 1.5108302193984004e-05,
+      "logits/chosen": -0.3522421717643738,
+      "logits/rejected": -1.013496994972229,
+      "logps/chosen": -231.60025024414062,
+      "logps/rejected": -174.62521362304688,
+      "loss": 0.631,
+      "rewards/accuracies": 0.6499999761581421,
+      "rewards/chosen": 1.5266729593276978,
+      "rewards/margins": 0.6238378286361694,
+      "rewards/rejected": 0.9028350710868835,
+      "step": 125
+    },
+    {
+      "epoch": 0.6565656565656566,
+      "grad_norm": 19.788497924804688,
+      "learning_rate": 1.3752556459724117e-05,
+      "logits/chosen": -0.44988712668418884,
+      "logits/rejected": -0.899565577507019,
+      "logps/chosen": -206.1852264404297,
+      "logps/rejected": -188.783447265625,
+      "loss": 0.685,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": 1.4883193969726562,
+      "rewards/margins": 0.6105667352676392,
+      "rewards/rejected": 0.8777526021003723,
+      "step": 130
+    },
+    {
+      "epoch": 0.6818181818181818,
+      "grad_norm": 17.837421417236328,
+      "learning_rate": 1.2102420272588178e-05,
+      "logits/chosen": -0.269491583108902,
+      "logits/rejected": -0.7996856570243835,
+      "logps/chosen": -219.24240112304688,
+      "logps/rejected": -178.4714813232422,
+      "loss": 0.6356,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": 1.4494140148162842,
+      "rewards/margins": 0.8258872032165527,
+      "rewards/rejected": 0.6235266923904419,
+      "step": 135
+    },
+    {
+      "epoch": 0.7070707070707071,
+      "grad_norm": 30.42537498474121,
+      "learning_rate": 1.0513746824428951e-05,
+      "logits/chosen": -0.6660299897193909,
+      "logits/rejected": -1.161827564239502,
+      "logps/chosen": -225.38668823242188,
+      "logps/rejected": -188.2053985595703,
+      "loss": 0.7771,
+      "rewards/accuracies": 0.574999988079071,
+      "rewards/chosen": 0.9760153889656067,
+      "rewards/margins": 0.37082913517951965,
+      "rewards/rejected": 0.6051862239837646,
+      "step": 140
+    },
+    {
+      "epoch": 0.7323232323232324,
+      "grad_norm": 21.641803741455078,
+      "learning_rate": 8.998899931103173e-06,
+      "logits/chosen": -0.6154942512512207,
+      "logits/rejected": -1.150761365890503,
+      "logps/chosen": -205.3412628173828,
+      "logps/rejected": -176.29917907714844,
+      "loss": 0.6959,
+      "rewards/accuracies": 0.612500011920929,
+      "rewards/chosen": 0.9418373107910156,
+      "rewards/margins": 0.5389925241470337,
+      "rewards/rejected": 0.40284472703933716,
+      "step": 145
+    },
+    {
+      "epoch": 0.7575757575757576,
+      "grad_norm": 17.89181137084961,
+      "learning_rate": 7.569668854942815e-06,
+      "logits/chosen": -0.2999069094657898,
+      "logits/rejected": -0.8618285059928894,
+      "logps/chosen": -208.3065948486328,
+      "logps/rejected": -163.25619506835938,
+      "loss": 0.6386,
+      "rewards/accuracies": 0.6875,
+      "rewards/chosen": 0.9588847160339355,
+      "rewards/margins": 0.6155614256858826,
+      "rewards/rejected": 0.343323290348053,
+      "step": 150
+    },
+    {
+      "epoch": 0.7828282828282829,
+      "grad_norm": 20.726341247558594,
+      "learning_rate": 6.237176555082625e-06,
+      "logits/chosen": -0.09209189563989639,
+      "logits/rejected": -0.40321072936058044,
+      "logps/chosen": -221.6671905517578,
+      "logps/rejected": -206.04989624023438,
+      "loss": 0.7131,
+      "rewards/accuracies": 0.625,
+      "rewards/chosen": 0.885414719581604,
+      "rewards/margins": 0.5608201622962952,
+      "rewards/rejected": 0.32459449768066406,
+      "step": 155
+    },
+    {
+      "epoch": 0.8080808080808081,
+      "grad_norm": 16.55711555480957,
+      "learning_rate": 5.0117931232775e-06,
+      "logits/chosen": -0.19318969547748566,
+      "logits/rejected": -0.7406075596809387,
+      "logps/chosen": -207.5948944091797,
+      "logps/rejected": -176.14010620117188,
+      "loss": 0.6493,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": 0.8107932209968567,
+      "rewards/margins": 0.5306531190872192,
+      "rewards/rejected": 0.28014007210731506,
+      "step": 160
+    },
+    {
+      "epoch": 0.8333333333333334,
+      "grad_norm": 17.550378799438477,
+      "learning_rate": 3.903055078893489e-06,
+      "logits/chosen": -0.05737120658159256,
+      "logits/rejected": -0.6579563617706299,
+      "logps/chosen": -220.5160675048828,
+      "logps/rejected": -174.6505584716797,
+      "loss": 0.7329,
+      "rewards/accuracies": 0.625,
+      "rewards/chosen": 0.9277563095092773,
+      "rewards/margins": 0.7453610301017761,
+      "rewards/rejected": 0.18239526450634003,
+      "step": 165
+    },
+    {
+      "epoch": 0.8585858585858586,
+      "grad_norm": 33.4338493347168,
+      "learning_rate": 2.919591151157475e-06,
+      "logits/chosen": -0.6612521409988403,
+      "logits/rejected": -1.0171642303466797,
+      "logps/chosen": -191.87083435058594,
+      "logps/rejected": -168.1193084716797,
+      "loss": 0.7216,
+      "rewards/accuracies": 0.637499988079071,
+      "rewards/chosen": 0.65160071849823,
+      "rewards/margins": 0.4179254472255707,
+      "rewards/rejected": 0.2336752861738205,
+      "step": 170
+    },
+    {
+      "epoch": 0.8838383838383839,
+      "grad_norm": 18.22390365600586,
+      "learning_rate": 2.069055126263433e-06,
+      "logits/chosen": -0.7078531384468079,
+      "logits/rejected": -0.9975414276123047,
+      "logps/chosen": -177.2061004638672,
+      "logps/rejected": -164.01715087890625,
+      "loss": 0.7113,
+      "rewards/accuracies": 0.6000000238418579,
+      "rewards/chosen": 0.7737497091293335,
+      "rewards/margins": 0.5676254034042358,
+      "rewards/rejected": 0.20612427592277527,
+      "step": 175
+    },
+    {
+      "epoch": 0.9090909090909091,
+      "grad_norm": 17.45758056640625,
+      "learning_rate": 1.3580662819512093e-06,
+      "logits/chosen": -0.49047690629959106,
+      "logits/rejected": -0.9685350656509399,
+      "logps/chosen": -211.9286346435547,
+      "logps/rejected": -177.24661254882812,
+      "loss": 0.6725,
+      "rewards/accuracies": 0.625,
+      "rewards/chosen": 0.8009859323501587,
+      "rewards/margins": 0.5601747632026672,
+      "rewards/rejected": 0.24081113934516907,
+      "step": 180
+    },
+    {
+      "epoch": 0.9343434343434344,
+      "grad_norm": 24.04217529296875,
+      "learning_rate": 7.92157873124415e-07,
+      "logits/chosen": -0.42594170570373535,
+      "logits/rejected": -1.1140912771224976,
+      "logps/chosen": -225.57559204101562,
+      "logps/rejected": -178.7427520751953,
+      "loss": 0.645,
+      "rewards/accuracies": 0.699999988079071,
+      "rewards/chosen": 1.0804827213287354,
+      "rewards/margins": 0.6804853081703186,
+      "rewards/rejected": 0.39999738335609436,
+      "step": 185
+    },
+    {
+      "epoch": 0.9595959595959596,
+      "grad_norm": 30.535690307617188,
+      "learning_rate": 3.757340694169109e-07,
+      "logits/chosen": -0.4965648651123047,
+      "logits/rejected": -0.7092806696891785,
+      "logps/chosen": -183.77874755859375,
+      "logps/rejected": -176.67739868164062,
+      "loss": 0.7775,
+      "rewards/accuracies": 0.574999988079071,
+      "rewards/chosen": 0.7033542394638062,
+      "rewards/margins": 0.2690446078777313,
+      "rewards/rejected": 0.4343096613883972,
+      "step": 190
+    },
+    {
+      "epoch": 0.9848484848484849,
+      "grad_norm": 17.108673095703125,
+      "learning_rate": 1.1203567984036101e-07,
+      "logits/chosen": -0.38576817512512207,
+      "logits/rejected": -1.0843629837036133,
+      "logps/chosen": -222.65896606445312,
+      "logps/rejected": -185.77786254882812,
+      "loss": 0.5822,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": 0.9926906824111938,
+      "rewards/margins": 0.9567824602127075,
+      "rewards/rejected": 0.03590827062726021,
+      "step": 195
+    },
+    {
+      "epoch": 1.0,
+      "step": 198,
+      "total_flos": 0.0,
+      "train_loss": 0.7032270744593456,
+      "train_runtime": 3353.7827,
+      "train_samples_per_second": 0.943,
+      "train_steps_per_second": 0.059
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 198,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e8df987ab1a6815bd6946e06268269b8f689faea05ae14e140fda0e9c54e30d
+size 5688