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-sigmoid
+  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-sigmoid
+
+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: 0.6025
+- Rewards/chosen: -7.8168
+- Rewards/rejected: -14.5388
+- Rewards/accuracies: 0.8310
+- Rewards/margins: 6.7220
+- Logps/rejected: -469.4976
+- Logps/chosen: -438.1190
+- Logits/rejected: -2.1911
+- Logits/chosen: -2.3064
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 1.0466        | 0.25  | 700  | 0.8185          | -6.6407        | -9.8742          | 0.7464             | 3.2335          | -422.8520      | -426.3579    | -2.3161         | -2.4530       |
+| 0.7039        | 0.51  | 1400 | 0.7051          | -6.5305        | -12.5351         | 0.8085             | 6.0046          | -449.4607      | -425.2558    | -2.1415         | -2.2554       |
+| 0.9519        | 0.76  | 2100 | 0.6025          | -7.8168        | -14.5388         | 0.8310             | 6.7220          | -469.4976      | -438.1190    | -2.1911         | -2.3064       |
+
+
+### 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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