Model save

README.md

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+---
+license: apache-2.0
+base_model: Minbyul/mistral-7b-wo-kqa_golden-sft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: mistral-7b-dpo-full-sft-wo-kqa_golden
+  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. -->
+
+# mistral-7b-dpo-full-sft-wo-kqa_golden
+
+This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_golden-sft](https://huggingface.co/Minbyul/mistral-7b-wo-kqa_golden-sft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0019
+- Rewards/chosen: -0.4479
+- Rewards/rejected: -10.0624
+- Rewards/accuracies: 1.0
+- Rewards/margins: 9.6145
+- Logps/rejected: -1559.6263
+- Logps/chosen: -241.4165
+- Logits/rejected: -2.0553
+- Logits/chosen: -1.3416
+
+## 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 | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2478        | 0.31  | 100  | 0.0352          | -0.1739        | -4.4264          | 1.0                | 4.2525          | -996.0294      | -214.0196    | -2.9200         | -2.1162       |
+| 0.1385        | 0.61  | 200  | 0.0041          | -0.3360        | -8.1997          | 1.0                | 7.8637          | -1373.3590     | -230.2282    | -2.3336         | -1.6287       |
+| 0.0899        | 0.92  | 300  | 0.0019          | -0.4479        | -10.0624         | 1.0                | 9.6145          | -1559.6263     | -241.4165    | -2.0553         | -1.3416       |
+
+
+### 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": 0.23720380818807385,
+    "train_runtime": 5120.8034,
+    "train_samples": 20928,
+    "train_samples_per_second": 4.087,
+    "train_steps_per_second": 0.064
+}

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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