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-DPO-PartialEval_ET0.1_MT1.2_V.1.0
+  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-DPO-PartialEval_ET0.1_MT1.2_V.1.0
+
+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: 0.7063
+- Rewards/chosen: -1.8087
+- Rewards/rejected: -2.4327
+- Rewards/accuracies: 0.7000
+- Rewards/margins: 0.6240
+- Logps/rejected: -101.7455
+- Logps/chosen: -109.7301
+- Logits/rejected: -1.0472
+- Logits/chosen: -1.0455
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6461        | 0.3009 | 68   | 0.6839          | 0.0330         | 0.0082           | 0.6000             | 0.0248          | -77.3366       | -91.3130     | -0.2945         | -0.2863       |
+| 0.9723        | 0.6018 | 136  | 0.6779          | 0.0339         | -0.0486          | 0.7000             | 0.0824          | -77.9042       | -91.3046     | -0.3345         | -0.3256       |
+| 0.6461        | 0.9027 | 204  | 0.6352          | -0.0081        | -0.2128          | 0.8000             | 0.2047          | -79.5466       | -91.7240     | -0.3939         | -0.3854       |
+| 0.2832        | 1.2035 | 272  | 0.5825          | -0.8764        | -1.2440          | 0.7000             | 0.3676          | -89.8586       | -100.4076    | -0.6262         | -0.6198       |
+| 0.1923        | 1.5044 | 340  | 0.5559          | -1.1573        | -1.6161          | 0.7000             | 0.4587          | -93.5792       | -103.2166    | -0.6844         | -0.6797       |
+| 0.3898        | 1.8053 | 408  | 0.6173          | -1.3556        | -1.8473          | 0.7000             | 0.4918          | -95.8919       | -105.1990    | -0.8939         | -0.8905       |
+| 0.3404        | 2.1062 | 476  | 0.6381          | -1.3063        | -1.8875          | 0.7000             | 0.5812          | -96.2932       | -104.7061    | -0.9068         | -0.9042       |
+| 0.4954        | 2.4071 | 544  | 0.6915          | -1.7445        | -2.3721          | 0.7000             | 0.6276          | -101.1399      | -109.0883    | -1.0304         | -1.0288       |
+| 0.3914        | 2.7080 | 612  | 0.7063          | -1.8087        | -2.4327          | 0.7000             | 0.6240          | -101.7455      | -109.7301    | -1.0472         | -1.0455       |
+
+
+### 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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