Model save

README.md

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+---
+base_model: Minbyul/llama2-7b-wo-medication_qa-sft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: llama2-7b-dpo-full-sft-wo-medication_qa
+  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. -->
+
+# llama2-7b-dpo-full-sft-wo-medication_qa
+
+This model is a fine-tuned version of [Minbyul/llama2-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/llama2-7b-wo-medication_qa-sft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Logits/chosen: -0.4292
+- Logits/rejected: -0.4708
+- Logps/chosen: -476.1255
+- Logps/rejected: -635.9033
+- Loss: 0.4682
+- Rewards/accuracies: 0.9250
+- Rewards/chosen: -0.1609
+- Rewards/margins: 0.9415
+- Rewards/rejected: -1.1024
+
+## 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
+
+| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
+|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
+| 0.2708        | 0.76  | 100  | -0.4292       | -0.4708         | -476.1255    | -635.9033      | 0.4682          | 0.9250             | -0.1609        | 0.9415          | -1.1024          |
+
+
+### 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,
+    "train_loss": 0.05898992068894947,
+    "train_runtime": 471.0672,
+    "train_samples": 8410,
+    "train_samples_per_second": 17.853,
+    "train_steps_per_second": 0.278
+}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.39.0.dev0"
+}

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