End of training

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- trl
+- orpo
+- generated_from_trainer
+base_model: meta-llama/Llama-2-7b-hf
+model-index:
+- name: Llama-2-7b-hf-eval_threapist-ORPO-filtered-version-1
+  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. -->
+
+# Llama-2-7b-hf-eval_threapist-ORPO-filtered-version-1
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9066
+- Rewards/chosen: -0.2061
+- Rewards/rejected: -0.2562
+- Rewards/accuracies: 0.7000
+- Rewards/margins: 0.0500
+- Logps/rejected: -2.5615
+- Logps/chosen: -2.0611
+- Logits/rejected: -1.0229
+- Logits/chosen: -1.0111
+- Nll Loss: 0.8524
+- Log Odds Ratio: -0.5638
+- Log Odds Chosen: 0.5622
+
+## 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: 8e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
+| 0.7757        | 0.4037 | 44   | 1.0979          | -0.2148        | -0.2646          | 0.7000             | 0.0498          | -2.6460        | -2.1485      | -0.9189         | -0.9063       | 1.0343   | -0.5790        | 0.5551          |
+| 0.7944        | 0.8073 | 88   | 1.0113          | -0.2113        | -0.2607          | 0.7000             | 0.0494          | -2.6073        | -2.1130      | -0.9711         | -0.9585       | 0.9516   | -0.5747        | 0.5532          |
+| 0.6896        | 1.2110 | 132  | 0.9476          | -0.2082        | -0.2579          | 0.7000             | 0.0497          | -2.5794        | -2.0824      | -0.9990         | -0.9867       | 0.8912   | -0.5690        | 0.5574          |
+| 0.8565        | 1.6147 | 176  | 0.9066          | -0.2061        | -0.2562          | 0.7000             | 0.0500          | -2.5615        | -2.0611      | -1.0229         | -1.0111       | 0.8524   | -0.5638        | 0.5622          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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