Model save

README.md

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+---
+library_name: peft
+tags:
+- trl
+- dpo
+- DPO
+- WeniGPT
+- generated_from_trainer
+base_model: Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged
+model-index:
+- name: WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-DPO
+  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. -->
+
+# WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.21-DPO
+
+This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged](https://huggingface.co/Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0520
+- Rewards/chosen: 2.3217
+- Rewards/rejected: -1.5051
+- Rewards/accuracies: 1.0
+- Rewards/margins: 3.8268
+- Logps/rejected: -167.9981
+- Logps/chosen: -107.6077
+- Logits/rejected: -1.7717
+- Logits/chosen: -1.7573
+
+## 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-06
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 180
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.3976        | 0.9677 | 30   | 0.3186          | 0.8373         | -0.0381          | 1.0                | 0.8754          | -160.6632      | -115.0300    | -1.7561         | -1.7413       |
+| 0.1934        | 1.9355 | 60   | 0.1752          | 1.6472         | -0.5496          | 1.0                | 2.1968          | -163.2207      | -110.9804    | -1.7603         | -1.7456       |
+| 0.1058        | 2.9032 | 90   | 0.1096          | 1.9881         | -0.7856          | 1.0                | 2.7737          | -164.4007      | -109.2759    | -1.7637         | -1.7491       |
+| 0.0527        | 3.8710 | 120  | 0.0787          | 2.1758         | -1.0246          | 1.0                | 3.2004          | -165.5957      | -108.3371    | -1.7676         | -1.7532       |
+| 0.0526        | 4.8387 | 150  | 0.0577          | 2.2762         | -1.3610          | 1.0                | 3.6373          | -167.2778      | -107.8351    | -1.7693         | -1.7549       |
+| 0.0529        | 5.8065 | 180  | 0.0520          | 2.3217         | -1.5051          | 1.0                | 3.8268          | -167.9981      | -107.6077    | -1.7717         | -1.7573       |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.19.1