End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: cognitivecomputations/dolphin-2.1-mistral-7b
+model-index:
+- name: doplhin-2.1-mistral-7b-dpo-ultrafeedback-binarized-preferences-ipo
+  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. -->
+
+# doplhin-2.1-mistral-7b-dpo-ultrafeedback-binarized-preferences-ipo
+
+This model is a fine-tuned version of [cognitivecomputations/dolphin-2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 13.6404
+- Rewards/chosen: -0.4693
+- Rewards/rejected: -0.7026
+- Rewards/accuracies: 0.8234
+- Rewards/margins: 0.2333
+- Logps/rejected: -9.0933
+- Logps/chosen: -6.2746
+- Logits/rejected: -0.8214
+- Logits/chosen: -0.8422
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 17.7871       | 0.25  | 700  | 16.4082         | -0.2243        | -0.3706          | 0.7903             | 0.1464          | -5.7735        | -3.8245      | -1.8423         | -1.8837       |
+| 13.4212       | 0.51  | 1400 | 14.5490         | -0.4924        | -0.7383          | 0.8092             | 0.2459          | -9.4501        | -6.5058      | -0.9174         | -0.9510       |
+| 13.2665       | 0.76  | 2100 | 13.6404         | -0.4693        | -0.7026          | 0.8234             | 0.2333          | -9.0933        | -6.2746      | -0.8214         | -0.8422       |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2

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