End of training

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: meta-llama/Llama-2-7b-hf
+model-index:
+- name: Llama-2-7b-hf-eval_threapist-DPO-filtered-0.2-local-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-DPO-filtered-0.2-local-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: 0.8124
+- Rewards/chosen: -0.4914
+- Rewards/rejected: -0.6417
+- Rewards/accuracies: 0.5
+- Rewards/margins: 0.1503
+- Logps/rejected: -52.4510
+- Logps/chosen: -51.8579
+- Logits/rejected: -1.2607
+- Logits/chosen: -1.2496
+
+## 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-05
+- 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: cosine
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4633        | 0.4   | 94   | 0.7283          | -0.4834        | -0.5276          | 0.5                | 0.0443          | -51.3107       | -51.7779     | -0.9037         | -0.8864       |
+| 0.7207        | 0.8   | 188  | 0.7368          | -0.2345        | -0.2555          | 0.6000             | 0.0210          | -48.5893       | -49.2894     | -0.7571         | -0.7388       |
+| 0.3511        | 1.2   | 282  | 0.7674          | -0.4686        | -0.6027          | 0.5500             | 0.1341          | -52.0614       | -51.6306     | -1.0377         | -1.0234       |
+| 0.6543        | 1.6   | 376  | 0.8144          | -0.4911        | -0.6379          | 0.5                | 0.1468          | -52.4135       | -51.8557     | -1.2458         | -1.2342       |
+| 0.123         | 2.0   | 470  | 0.8124          | -0.4914        | -0.6417          | 0.5                | 0.1503          | -52.4510       | -51.8579     | -1.2607         | -1.2496       |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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