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README.md

@@ -1,3 +1,80 @@
----
-license: cc-by-4.0
----
+---
+license: apache-2.0
+base_model: Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2
+tags:
+- alignment-handbook
+- trl
+- dpo
+- generated_from_trainer
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: biomistral-7b-wo-kqa_golden-iter-dpo-step3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# biomistral-7b-wo-kqa_golden-iter-dpo-step3
+
+This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2](https://huggingface.co/Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6829
+- Rewards/chosen: -0.0502
+- Rewards/rejected: -0.0800
+- Rewards/accuracies: 0.6300
+- Rewards/margins: 0.0298
+- Logps/rejected: -60.1185
+- Logps/chosen: -40.1264
+- Logits/rejected: -1.5228
+- Logits/chosen: -0.8710
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
+|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
+| 0.6794        | 0.37  | 100  | -0.8266       | -1.4757         | -35.5860     | -53.0765       | 0.6906          | 0.5900             | -0.0048        | 0.0048          | -0.0096          |
+| 0.6555        | 0.74  | 200  | -0.8589       | -1.5130         | -39.0432     | -58.7210       | 0.6837          | 0.6400             | -0.0394        | 0.0267          | -0.0661          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.14.6
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -0.8710112571716309,
+    "eval_logits/rejected": -1.522813320159912,
+    "eval_logps/chosen": -40.126407623291016,
+    "eval_logps/rejected": -60.11854934692383,
+    "eval_loss": 0.6829047799110413,
+    "eval_rewards/accuracies": 0.6299999952316284,
+    "eval_rewards/chosen": -0.050214797258377075,
+    "eval_rewards/margins": 0.02983289770781994,
+    "eval_rewards/rejected": -0.08004770427942276,
+    "eval_runtime": 65.4744,
+    "eval_samples": 785,
+    "eval_samples_per_second": 11.989,
+    "eval_steps_per_second": 0.382,
+    "train_loss": 0.1692200431117305,
+    "train_runtime": 798.9647,
+    "train_samples": 17264,
+    "train_samples_per_second": 21.608,
+    "train_steps_per_second": 0.338
+}

config.json

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+{
+  "_name_or_path": "Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

eval_results.json

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+    "eval_logits/chosen": -0.8710112571716309,
+    "eval_logits/rejected": -1.522813320159912,
+    "eval_logps/chosen": -40.126407623291016,
+    "eval_logps/rejected": -60.11854934692383,
+    "eval_loss": 0.6829047799110413,
+    "eval_rewards/accuracies": 0.6299999952316284,
+    "eval_rewards/chosen": -0.050214797258377075,
+    "eval_rewards/margins": 0.02983289770781994,
+    "eval_rewards/rejected": -0.08004770427942276,
+    "eval_runtime": 65.4744,
+    "eval_samples": 785,
+    "eval_samples_per_second": 11.989,
+    "eval_steps_per_second": 0.382
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.39.0.dev0"
+}

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