Model save

README.md

@@ -0,0 +1,77 @@
+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- dpo
+- llama-factory
+- generated_from_trainer
+base_model: google/gemma-7b-it
+model-index:
+- name: Gemma-7B-It-ORPO-SALT
+  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. -->
+
+# Gemma-7B-It-ORPO-SALT
+
+This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2657
+- Rewards/chosen: -0.1198
+- Rewards/rejected: -0.1438
+- Rewards/accuracies: 0.5700
+- Rewards/margins: 0.0239
+- Logps/rejected: -1.4377
+- Logps/chosen: -1.1983
+- Logits/rejected: 253.9599
+- Logits/chosen: 253.6037
+- Sft Loss: 1.1983
+- Odds Ratio Loss: 0.6746
+
+## 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-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
+| 1.374         | 0.8082 | 500  | 1.3436          | -0.1276        | -0.1503          | 0.5673             | 0.0227          | -1.5033        | -1.2762      | 249.9064        | 249.6123      | 1.2762   | 0.6738          |
+| 1.1628        | 1.6165 | 1000 | 1.2833          | -0.1215        | -0.1446          | 0.5618             | 0.0231          | -1.4461        | -1.2153      | 253.1810        | 252.8272      | 1.2153   | 0.6796          |
+| 1.1874        | 2.4247 | 1500 | 1.2657          | -0.1198        | -0.1438          | 0.5700             | 0.0239          | -1.4377        | -1.1983      | 253.9599        | 253.6037      | 1.1983   | 0.6746          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.3.0
+- Datasets 2.19.0
+- Tokenizers 0.19.1

trainer_log.jsonl

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