Model save

README.md

@@ -0,0 +1,74 @@
+---
+license: llama3.1
+base_model: RyanYr/reward-judge_iter-dpo-genRM_pilot-exp_iter1
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: reward-judge_iter-dpo-genRM_pilot-exp_iter2
+  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_iter2
+
+This model is a fine-tuned version of [RyanYr/reward-judge_iter-dpo-genRM_pilot-exp_iter1](https://huggingface.co/RyanYr/reward-judge_iter-dpo-genRM_pilot-exp_iter1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2833
+- Rewards/chosen: 0.6682
+- Rewards/rejected: -1.6351
+- Rewards/accuracies: 0.9200
+- Rewards/margins: 2.3033
+- Logps/rejected: -185.4352
+- Logps/chosen: -206.2261
+- Logits/rejected: -0.7883
+- Logits/chosen: -0.6863
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4758        | 0.9370 | 75   | 0.5220          | 1.9179         | 0.8606           | 0.8400             | 1.0573          | -160.4774      | -193.7286    | -0.7280         | -0.6243       |
+| 0.2866        | 1.8739 | 150  | 0.2833          | 0.6682         | -1.6351          | 0.9200             | 2.3033          | -185.4352      | -206.2261    | -0.7883         | -0.6863       |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "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"
+}