Model save

README.md

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+---
+license: llama3.1
+base_model: RyanYr/reward-judge_SFT-genRM_pilot-exp
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: reward-judge_iter-dpo-genRM_pilot-exp_iter1
+  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. -->
+
+# reward-judge_iter-dpo-genRM_pilot-exp_iter1
+
+This model is a fine-tuned version of [RyanYr/reward-judge_SFT-genRM_pilot-exp](https://huggingface.co/RyanYr/reward-judge_SFT-genRM_pilot-exp) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2657
+- Rewards/chosen: -1.3929
+- Rewards/rejected: -3.4254
+- Rewards/accuracies: 0.8400
+- Rewards/margins: 2.0324
+- Logps/rejected: -188.0495
+- Logps/chosen: -189.5504
+- Logits/rejected: -0.7024
+- Logits/chosen: -0.6169
+
+## 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: 2e-07
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 128
+- total_train_batch_size: 512
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5701        | 0.9370 | 75   | 0.5377          | 0.1101         | -0.2637          | 0.8400             | 0.3738          | -156.4332      | -174.5201    | -0.6949         | -0.6098       |
+| 0.2655        | 1.8739 | 150  | 0.2657          | -1.3929        | -3.4254          | 0.8400             | 2.0324          | -188.0495      | -189.5504    | -0.7024         | -0.6169       |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.43.4"
+}