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README.md

@@ -1,3 +1,76 @@
----
-license: cc-by-4.0
----
+---
+license: llama2
+base_model: Minbyul/meditron-7b-wo-kqa_golden-iter-sft-step1
+tags:
+- alignment-handbook
+- trl
+- dpo
+- generated_from_trainer
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: meditron-7b-wo-kqa_golden-iter-dpo-step2
+  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. -->
+
+# meditron-7b-wo-kqa_golden-iter-dpo-step2
+
+This model is a fine-tuned version of [Minbyul/meditron-7b-wo-kqa_golden-iter-sft-step1](https://huggingface.co/Minbyul/meditron-7b-wo-kqa_golden-iter-sft-step1) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6808
+- Rewards/chosen: 0.0082
+- Rewards/rejected: 0.0077
+- Rewards/accuracies: 0.5625
+- Rewards/margins: 0.0005
+- Logps/rejected: -631.7355
+- Logps/chosen: -407.7206
+- Logits/rejected: -1.1718
+- Logits/chosen: -1.2239
+
+## 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: 5e-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
+
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.14.6
+- Tokenizers 0.15.2

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all_results.json

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+{
+    "epoch": 0.99,
+    "eval_logits/chosen": -1.22385835647583,
+    "eval_logits/rejected": -1.171796202659607,
+    "eval_logps/chosen": -407.7206115722656,
+    "eval_logps/rejected": -631.7355346679688,
+    "eval_loss": 0.6808297634124756,
+    "eval_rewards/accuracies": 0.5625,
+    "eval_rewards/chosen": 0.00824617501348257,
+    "eval_rewards/margins": 0.000521879643201828,
+    "eval_rewards/rejected": 0.007724293041974306,
+    "eval_runtime": 19.6215,
+    "eval_samples": 185,
+    "eval_samples_per_second": 9.428,
+    "eval_steps_per_second": 0.306,
+    "train_loss": 0.6759306937456131,
+    "train_runtime": 862.557,
+    "train_samples": 4102,
+    "train_samples_per_second": 4.756,
+    "train_steps_per_second": 0.074
+}

config.json

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+{
+  "_name_or_path": "Minbyul/meditron-7b-wo-kqa_golden-iter-sft-step1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32017
+}

eval_results.json

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+    "eval_logits/rejected": -1.171796202659607,
+    "eval_logps/chosen": -407.7206115722656,
+    "eval_logps/rejected": -631.7355346679688,
+    "eval_loss": 0.6808297634124756,
+    "eval_rewards/accuracies": 0.5625,
+    "eval_rewards/chosen": 0.00824617501348257,
+    "eval_rewards/margins": 0.000521879643201828,
+    "eval_rewards/rejected": 0.007724293041974306,
+    "eval_runtime": 19.6215,
+    "eval_samples": 185,
+    "eval_samples_per_second": 9.428,
+    "eval_steps_per_second": 0.306
+}

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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