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-0.2-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-0.2-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: 0.5471
+- Rewards/chosen: -0.1206
+- Rewards/rejected: -0.1280
+- Rewards/accuracies: 0.6500
+- Rewards/margins: 0.0074
+- Logps/rejected: -1.2803
+- Logps/chosen: -1.2064
+- Logits/rejected: -1.4351
+- Logits/chosen: -1.4353
+- Nll Loss: 0.4721
+- Log Odds Ratio: -0.7502
+- Log Odds Chosen: 0.0744
+
+## 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: 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
+| 0.8049        | 0.6   | 141  | 0.8303          | -0.2121        | -0.2243          | 0.6500             | 0.0122          | -2.2432        | -2.1211      | -0.7703         | -0.7698       | 0.7515   | -0.7874        | 0.1083          |
+| 0.5299        | 1.2   | 282  | 0.5796          | -0.1515        | -0.1597          | 0.6500             | 0.0081          | -1.5968        | -1.5153      | -1.2952         | -1.2957       | 0.5038   | -0.7583        | 0.0737          |
+| 0.595         | 1.8   | 423  | 0.5535          | -0.1227        | -0.1296          | 0.6500             | 0.0070          | -1.2962        | -1.2265      | -1.4015         | -1.4015       | 0.4782   | -0.7532        | 0.0683          |
+| 0.6024        | 2.4   | 564  | 0.5476          | -0.1216        | -0.1293          | 0.6500             | 0.0077          | -1.2929        | -1.2164      | -1.4239         | -1.4238       | 0.4727   | -0.7491        | 0.0768          |
+| 0.59          | 3.0   | 705  | 0.5471          | -0.1206        | -0.1280          | 0.6500             | 0.0074          | -1.2803        | -1.2064      | -1.4351         | -1.4353       | 0.4721   | -0.7502        | 0.0744          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.safetensors

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