Upload 15 files

README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: TonyMDSA/Phi-2_finetune_MCQ
+---
+
+# 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 +1,35 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TonyMDSA/Phi-2_finetune_MCQ",
+  "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": 8,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "lm_head",
+    "v_proj",
+    "k_proj",
+    "down_proj",
+    "o_proj",
+    "up_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 sha256:4adf2c2f5cf234188e18c0530f0cbe8104c5ba4522ed72564a19a08f269f0563
+size 279722088

added_tokens.json

@@ -0,0 +1,40 @@
+{
+  "\t\t": 50294,
+  "\t\t\t": 50293,
+  "\t\t\t\t": 50292,
+  "\t\t\t\t\t": 50291,
+  "\t\t\t\t\t\t": 50290,
+  "\t\t\t\t\t\t\t": 50289,
+  "\t\t\t\t\t\t\t\t": 50288,
+  "\t\t\t\t\t\t\t\t\t": 50287,
+  "  ": 50286,
+  "   ": 50285,
+  "    ": 50284,
+  "     ": 50283,
+  "      ": 50282,
+  "       ": 50281,
+  "        ": 50280,
+  "         ": 50279,
+  "          ": 50278,
+  "           ": 50277,
+  "            ": 50276,
+  "             ": 50275,
+  "              ": 50274,
+  "               ": 50273,
+  "                ": 50272,
+  "                 ": 50271,
+  "                  ": 50270,
+  "                   ": 50269,
+  "                    ": 50268,
+  "                     ": 50267,
+  "                      ": 50266,
+  "                       ": 50265,
+  "                        ": 50264,
+  "                         ": 50263,
+  "                          ": 50262,
+  "                           ": 50261,
+  "                            ": 50260,
+  "                             ": 50259,
+  "                              ": 50258,
+  "                               ": 50257
+}

events.out.tfevents.1717326758.i11.2856830.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68add440dc947f155b2d0bbfa0b257e6a9db711bb7a3603e68c073bf6aae233d
+size 42067

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d5ae0ae6d31cb8f6896bee6baaa485168a271952c1b07e2085987163263cfb5
+size 17704698

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d245e05e72192c132e0f2edb6fdcae0c578c890f0fe912f17ec7b0bba2d38cc3
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d941148f6fbea982037f40cba4a5678f7333a94406b91707d64cd5f6064f89b
+size 1064

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "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": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,325 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "                               ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50258": {
+      "content": "                              ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50259": {
+      "content": "                             ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50260": {
+      "content": "                            ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50261": {
+      "content": "                           ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50262": {
+      "content": "                          ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50263": {
+      "content": "                         ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50264": {
+      "content": "                        ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50265": {
+      "content": "                       ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50266": {
+      "content": "                      ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50267": {
+      "content": "                     ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50268": {
+      "content": "                    ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50269": {
+      "content": "                   ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50270": {
+      "content": "                  ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50271": {
+      "content": "                 ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50272": {
+      "content": "                ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50273": {
+      "content": "               ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50274": {
+      "content": "              ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50275": {
+      "content": "             ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50276": {
+      "content": "            ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50277": {
+      "content": "           ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50278": {
+      "content": "          ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50279": {
+      "content": "         ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50280": {
+      "content": "        ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50281": {
+      "content": "       ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50282": {
+      "content": "      ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50283": {
+      "content": "     ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50284": {
+      "content": "    ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50285": {
+      "content": "   ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50286": {
+      "content": "  ",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50287": {
+      "content": "\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50288": {
+      "content": "\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50289": {
+      "content": "\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50290": {
+      "content": "\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50291": {
+      "content": "\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50292": {
+      "content": "\t\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50293": {
+      "content": "\t\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "50294": {
+      "content": "\t\t",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "return_token_type_ids": false,
+  "tokenizer_class": "CodeGenTokenizer",
+  "unk_token": "<|endoftext|>"
+}

trainer_state.json

@@ -0,0 +1,300 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.6230098297106466,
+  "eval_steps": 1000,
+  "global_step": 9000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.06922331441229405,
+      "grad_norm": 52.84375,
+      "learning_rate": 2.9483376313193374e-05,
+      "logits/chosen": -0.7172003388404846,
+      "logits/rejected": -0.8999207019805908,
+      "logps/chosen": -304.1668701171875,
+      "logps/rejected": -216.46609497070312,
+      "loss": 0.6793,
+      "rewards/accuracies": 0.5619999766349792,
+      "rewards/chosen": 0.10503997653722763,
+      "rewards/margins": 0.037437956780195236,
+      "rewards/rejected": 0.06760203093290329,
+      "step": 1000
+    },
+    {
+      "epoch": 0.06922331441229405,
+      "eval_logits/chosen": -0.6456733345985413,
+      "eval_logits/rejected": -0.8373212218284607,
+      "eval_logps/chosen": -304.64984130859375,
+      "eval_logps/rejected": -217.35638427734375,
+      "eval_loss": 0.6695967316627502,
+      "eval_rewards/accuracies": 0.5669527053833008,
+      "eval_rewards/chosen": 0.20719687640666962,
+      "eval_rewards/margins": 0.07671476900577545,
+      "eval_rewards/rejected": 0.13048213720321655,
+      "eval_runtime": 1809.5718,
+      "eval_samples_per_second": 3.992,
+      "eval_steps_per_second": 0.998,
+      "step": 1000
+    },
+    {
+      "epoch": 0.1384466288245881,
+      "grad_norm": 20.1875,
+      "learning_rate": 2.8964156527458075e-05,
+      "logits/chosen": -0.6381000280380249,
+      "logits/rejected": -0.8281131386756897,
+      "logps/chosen": -298.145263671875,
+      "logps/rejected": -213.81825256347656,
+      "loss": 0.6633,
+      "rewards/accuracies": 0.5932499766349792,
+      "rewards/chosen": 0.25646814703941345,
+      "rewards/margins": 0.09272526204586029,
+      "rewards/rejected": 0.16374288499355316,
+      "step": 2000
+    },
+    {
+      "epoch": 0.1384466288245881,
+      "eval_logits/chosen": -0.5784724354743958,
+      "eval_logits/rejected": -0.774167001247406,
+      "eval_logps/chosen": -304.0080871582031,
+      "eval_logps/rejected": -217.06524658203125,
+      "eval_loss": 0.6561135649681091,
+      "eval_rewards/accuracies": 0.5975452661514282,
+      "eval_rewards/chosen": 0.27137282490730286,
+      "eval_rewards/margins": 0.11177627742290497,
+      "eval_rewards/rejected": 0.1595965474843979,
+      "eval_runtime": 1809.9391,
+      "eval_samples_per_second": 3.991,
+      "eval_steps_per_second": 0.998,
+      "step": 2000
+    },
+    {
+      "epoch": 0.20766994323688218,
+      "grad_norm": 45.59375,
+      "learning_rate": 2.8444936741722772e-05,
+      "logits/chosen": -0.6119475960731506,
+      "logits/rejected": -0.8187024593353271,
+      "logps/chosen": -306.91265869140625,
+      "logps/rejected": -214.48626708984375,
+      "loss": 0.6522,
+      "rewards/accuracies": 0.6052500009536743,
+      "rewards/chosen": 0.26545238494873047,
+      "rewards/margins": 0.13211578130722046,
+      "rewards/rejected": 0.13333660364151,
+      "step": 3000
+    },
+    {
+      "epoch": 0.20766994323688218,
+      "eval_logits/chosen": -0.5946438908576965,
+      "eval_logits/rejected": -0.7924441695213318,
+      "eval_logps/chosen": -303.99310302734375,
+      "eval_logps/rejected": -217.3607177734375,
+      "eval_loss": 0.6483559608459473,
+      "eval_rewards/accuracies": 0.6118955016136169,
+      "eval_rewards/chosen": 0.27287325263023376,
+      "eval_rewards/margins": 0.14282457530498505,
+      "eval_rewards/rejected": 0.13004866242408752,
+      "eval_runtime": 1808.1656,
+      "eval_samples_per_second": 3.995,
+      "eval_steps_per_second": 0.999,
+      "step": 3000
+    },
+    {
+      "epoch": 0.2768932576491762,
+      "grad_norm": 15.4453125,
+      "learning_rate": 2.7925716955987473e-05,
+      "logits/chosen": -0.6306295394897461,
+      "logits/rejected": -0.8517826795578003,
+      "logps/chosen": -307.3712463378906,
+      "logps/rejected": -212.0769500732422,
+      "loss": 0.6386,
+      "rewards/accuracies": 0.6212499737739563,
+      "rewards/chosen": 0.32602864503860474,
+      "rewards/margins": 0.17370422184467316,
+      "rewards/rejected": 0.15232445299625397,
+      "step": 4000
+    },
+    {
+      "epoch": 0.2768932576491762,
+      "eval_logits/chosen": -0.6721797585487366,
+      "eval_logits/rejected": -0.8792731165885925,
+      "eval_logps/chosen": -303.22210693359375,
+      "eval_logps/rejected": -216.90435791015625,
+      "eval_loss": 0.6395601630210876,
+      "eval_rewards/accuracies": 0.6196474432945251,
+      "eval_rewards/chosen": 0.3499698042869568,
+      "eval_rewards/margins": 0.17428545653820038,
+      "eval_rewards/rejected": 0.1756843477487564,
+      "eval_runtime": 1809.8644,
+      "eval_samples_per_second": 3.991,
+      "eval_steps_per_second": 0.998,
+      "step": 4000
+    },
+    {
+      "epoch": 0.3461165720614703,
+      "grad_norm": 57.375,
+      "learning_rate": 2.7406497170252167e-05,
+      "logits/chosen": -0.70070880651474,
+      "logits/rejected": -0.9215654730796814,
+      "logps/chosen": -302.41265869140625,
+      "logps/rejected": -212.0404052734375,
+      "loss": 0.6371,
+      "rewards/accuracies": 0.625249981880188,
+      "rewards/chosen": 0.38654881715774536,
+      "rewards/margins": 0.1891336739063263,
+      "rewards/rejected": 0.19741514325141907,
+      "step": 5000
+    },
+    {
+      "epoch": 0.3461165720614703,
+      "eval_logits/chosen": -0.6983235478401184,
+      "eval_logits/rejected": -0.9088946580886841,
+      "eval_logps/chosen": -302.4079895019531,
+      "eval_logps/rejected": -216.43348693847656,
+      "eval_loss": 0.6330362558364868,
+      "eval_rewards/accuracies": 0.6294757723808289,
+      "eval_rewards/chosen": 0.43138742446899414,
+      "eval_rewards/margins": 0.20861481130123138,
+      "eval_rewards/rejected": 0.22277262806892395,
+      "eval_runtime": 1811.3565,
+      "eval_samples_per_second": 3.988,
+      "eval_steps_per_second": 0.997,
+      "step": 5000
+    },
+    {
+      "epoch": 0.41533988647376435,
+      "grad_norm": 68.1875,
+      "learning_rate": 2.6887277384516867e-05,
+      "logits/chosen": -0.7243251800537109,
+      "logits/rejected": -0.9372639656066895,
+      "logps/chosen": -298.91192626953125,
+      "logps/rejected": -214.60647583007812,
+      "loss": 0.6348,
+      "rewards/accuracies": 0.6307500004768372,
+      "rewards/chosen": 0.4019148051738739,
+      "rewards/margins": 0.20437340438365936,
+      "rewards/rejected": 0.19754138588905334,
+      "step": 6000
+    },
+    {
+      "epoch": 0.41533988647376435,
+      "eval_logits/chosen": -0.7277015447616577,
+      "eval_logits/rejected": -0.9341850280761719,
+      "eval_logps/chosen": -302.8192138671875,
+      "eval_logps/rejected": -216.93202209472656,
+      "eval_loss": 0.626986563205719,
+      "eval_rewards/accuracies": 0.6369508504867554,
+      "eval_rewards/chosen": 0.3902588188648224,
+      "eval_rewards/margins": 0.21733936667442322,
+      "eval_rewards/rejected": 0.17291945219039917,
+      "eval_runtime": 1811.3554,
+      "eval_samples_per_second": 3.988,
+      "eval_steps_per_second": 0.997,
+      "step": 6000
+    },
+    {
+      "epoch": 0.4845632008860584,
+      "grad_norm": 42.96875,
+      "learning_rate": 2.6368057598781565e-05,
+      "logits/chosen": -0.7278515100479126,
+      "logits/rejected": -0.9392414093017578,
+      "logps/chosen": -299.16754150390625,
+      "logps/rejected": -211.17393493652344,
+      "loss": 0.6228,
+      "rewards/accuracies": 0.6457499861717224,
+      "rewards/chosen": 0.4171576201915741,
+      "rewards/margins": 0.23923394083976746,
+      "rewards/rejected": 0.17792373895645142,
+      "step": 7000
+    },
+    {
+      "epoch": 0.4845632008860584,
+      "eval_logits/chosen": -0.6790074706077576,
+      "eval_logits/rejected": -0.8909901976585388,
+      "eval_logps/chosen": -302.5709533691406,
+      "eval_logps/rejected": -216.92449951171875,
+      "eval_loss": 0.621570348739624,
+      "eval_rewards/accuracies": 0.6430416703224182,
+      "eval_rewards/chosen": 0.41509076952934265,
+      "eval_rewards/margins": 0.24142169952392578,
+      "eval_rewards/rejected": 0.17366909980773926,
+      "eval_runtime": 1809.1079,
+      "eval_samples_per_second": 3.993,
+      "eval_steps_per_second": 0.998,
+      "step": 7000
+    },
+    {
+      "epoch": 0.5537865152983524,
+      "grad_norm": 68.9375,
+      "learning_rate": 2.5848837813046265e-05,
+      "logits/chosen": -0.6841186285018921,
+      "logits/rejected": -0.8984114527702332,
+      "logps/chosen": -307.65289306640625,
+      "logps/rejected": -220.9628448486328,
+      "loss": 0.6251,
+      "rewards/accuracies": 0.6430000066757202,
+      "rewards/chosen": 0.38440626859664917,
+      "rewards/margins": 0.23852017521858215,
+      "rewards/rejected": 0.1458861082792282,
+      "step": 8000
+    },
+    {
+      "epoch": 0.5537865152983524,
+      "eval_logits/chosen": -0.6851416230201721,
+      "eval_logits/rejected": -0.9019606709480286,
+      "eval_logps/chosen": -302.9433898925781,
+      "eval_logps/rejected": -217.45289611816406,
+      "eval_loss": 0.6197263598442078,
+      "eval_rewards/accuracies": 0.6425802707672119,
+      "eval_rewards/chosen": 0.3778453469276428,
+      "eval_rewards/margins": 0.25701332092285156,
+      "eval_rewards/rejected": 0.12083201110363007,
+      "eval_runtime": 1812.2911,
+      "eval_samples_per_second": 3.986,
+      "eval_steps_per_second": 0.997,
+      "step": 8000
+    },
+    {
+      "epoch": 0.6230098297106466,
+      "grad_norm": 23.046875,
+      "learning_rate": 2.532961802731096e-05,
+      "logits/chosen": -0.6993722915649414,
+      "logits/rejected": -0.9128779172897339,
+      "logps/chosen": -300.31256103515625,
+      "logps/rejected": -215.20162963867188,
+      "loss": 0.615,
+      "rewards/accuracies": 0.640250027179718,
+      "rewards/chosen": 0.4151590168476105,
+      "rewards/margins": 0.2731047570705414,
+      "rewards/rejected": 0.1420542448759079,
+      "step": 9000
+    },
+    {
+      "epoch": 0.6230098297106466,
+      "eval_logits/chosen": -0.709079384803772,
+      "eval_logits/rejected": -0.9235769510269165,
+      "eval_logps/chosen": -302.36663818359375,
+      "eval_logps/rejected": -217.17535400390625,
+      "eval_loss": 0.6112583875656128,
+      "eval_rewards/accuracies": 0.651024341583252,
+      "eval_rewards/chosen": 0.43552058935165405,
+      "eval_rewards/margins": 0.2869325280189514,
+      "eval_rewards/rejected": 0.14858807623386383,
+      "eval_runtime": 1804.2977,
+      "eval_samples_per_second": 4.003,
+      "eval_steps_per_second": 1.001,
+      "step": 9000
+    }
+  ],
+  "logging_steps": 1000,
+  "max_steps": 57784,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 1000,
+  "total_flos": 0.0,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e142006eb50e655cc35ea9b4aa9c091c837b529a75e5067aee12e9d503d15aaa
+size 5560