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-Filtered-0.2-version-4
+  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-Filtered-0.2-version-4
+
+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: 0.4722
+- Rewards/chosen: -4.6553
+- Rewards/rejected: -7.8727
+- Rewards/accuracies: 0.8500
+- Rewards/margins: 3.2174
+- Logps/rejected: -130.0573
+- Logps/chosen: -99.6505
+- Logits/rejected: -1.6599
+- Logits/chosen: -1.6641
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6253        | 0.3007 | 289  | 0.4804          | 0.1896         | -0.8278          | 0.75               | 1.0174          | -59.6087       | -51.2020     | -0.5776         | -0.5728       |
+| 0.7389        | 0.6015 | 578  | 0.6042          | -0.7550        | -1.2877          | 0.75               | 0.5327          | -64.2070       | -60.6478     | -0.5344         | -0.5271       |
+| 0.9409        | 0.9022 | 867  | 0.5284          | -1.7710        | -2.8304          | 0.8000             | 1.0594          | -79.6340       | -70.8077     | -0.7636         | -0.7588       |
+| 0.1677        | 1.2029 | 1156 | 0.5894          | -3.1943        | -5.2391          | 0.8500             | 2.0448          | -103.7217      | -85.0409     | -1.2480         | -1.2513       |
+| 0.7214        | 1.5036 | 1445 | 0.9016          | -2.9280        | -4.9877          | 0.75               | 2.0597          | -101.2072      | -82.3778     | -1.7146         | -1.7203       |
+| 0.0886        | 1.8044 | 1734 | 0.5467          | -5.1233        | -7.7654          | 0.8000             | 2.6421          | -128.9842      | -104.3309    | -1.6795         | -1.6833       |
+| 0.0017        | 2.1051 | 2023 | 0.4601          | -4.5145        | -7.6515          | 0.9000             | 3.1370          | -127.8453      | -98.2430     | -1.6638         | -1.6679       |
+| 0.0517        | 2.4058 | 2312 | 0.4787          | -4.6994        | -7.9152          | 0.8500             | 3.2159          | -130.4826      | -100.0915    | -1.6608         | -1.6651       |
+| 0.0003        | 2.7066 | 2601 | 0.4722          | -4.6553        | -7.8727          | 0.8500             | 3.2174          | -130.0573      | -99.6505     | -1.6599         | -1.6641       |
+
+
+### 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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