Model save

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-dpo-1-epoch
+  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-dpo-1-epoch
+
+This model is a fine-tuned version of [cognitivecomputations/dolphin-2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6046
+- Rewards/chosen: -6.6173
+- Rewards/rejected: -10.5237
+- Rewards/accuracies: 0.7880
+- Rewards/margins: 3.9064
+- Logps/rejected: -431.3049
+- Logps/chosen: -422.0936
+- Logits/rejected: -2.5993
+- Logits/chosen: -2.6739
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 0.9
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5544        | 0.62  | 700  | 0.6046          | -6.6173        | -10.5237         | 0.7880             | 3.9064          | -431.3049      | -422.0936    | -2.5993         | -2.6739       |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.2

adapter_model.safetensors

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all_results.json

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+{
+    "epoch": 0.9,
+    "train_loss": 0.6329894475381442,
+    "train_runtime": 9425.2023,
+    "train_samples_per_second": 0.859,
+    "train_steps_per_second": 0.107
+}

runs/Jun11_00-17-23_modal/events.out.tfevents.1718065092.modal.2.0

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train_results.json

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+{
+    "epoch": 0.9,
+    "train_loss": 0.6329894475381442,
+    "train_runtime": 9425.2023,
+    "train_samples_per_second": 0.859,
+    "train_steps_per_second": 0.107
+}