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-mistral-dpo-ultrafeedback-binarized-preferences-kto_pair
+  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-mistral-dpo-ultrafeedback-binarized-preferences-kto_pair
+
+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: 0.2024
+- Rewards/chosen: 3.9237
+- Rewards/rejected: -1.2199
+- Rewards/accuracies: 0.7871
+- Rewards/margins: 5.1437
+- Logps/rejected: -319.8331
+- Logps/chosen: -311.9210
+- Logits/rejected: -2.2827
+- Logits/chosen: -2.4135
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2261        | 0.25  | 700  | 0.2691          | 3.8384         | 0.5201           | 0.6951             | 3.3183          | -302.4326      | -312.7741    | -2.4004         | -2.5103       |
+| 0.1934        | 0.51  | 1400 | 0.2197          | 3.0918         | -2.0543          | 0.7802             | 5.1461          | -328.1768      | -320.2403    | -2.3140         | -2.4316       |
+| 0.2163        | 0.76  | 2100 | 0.2024          | 3.9237         | -1.2199          | 0.7871             | 5.1437          | -319.8331      | -311.9210    | -2.2827         | -2.4135       |
+
+
+### 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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