Model save

README.md

@@ -0,0 +1,82 @@
+---
+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-1.0.25-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-1.0.25-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: 0.0048
+- Rewards/chosen: 3.9169
+- Rewards/rejected: -6.2067
+- Rewards/accuracies: 1.0
+- Rewards/margins: 10.1235
+- Logps/rejected: -240.9936
+- Logps/chosen: -117.4673
+- Logits/rejected: -1.9027
+- Logits/chosen: -1.8786
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.225         | 0.9677 | 30   | 0.2227          | 2.6681         | -1.0085          | 1.0                | 3.6765          | -215.0026      | -123.7113    | -1.9566         | -1.9326       |
+| 0.0853        | 1.9355 | 60   | 0.1095          | 3.7286         | -2.2208          | 1.0                | 5.9494          | -221.0642      | -118.4086    | -1.9400         | -1.9170       |
+| 0.0285        | 2.9032 | 90   | 0.0545          | 4.1460         | -3.9811          | 1.0                | 8.1270          | -229.8655      | -116.3218    | -1.9301         | -1.9063       |
+| 0.001         | 3.8710 | 120  | 0.0468          | 4.1806         | -5.0175          | 1.0                | 9.1980          | -235.0477      | -116.1489    | -1.9141         | -1.8902       |
+| 0.0021        | 4.8387 | 150  | 0.0087          | 3.9958         | -5.9294          | 1.0                | 9.9252          | -239.6072      | -117.0728    | -1.9056         | -1.8815       |
+| 0.0014        | 5.8065 | 180  | 0.0048          | 3.9169         | -6.2067          | 1.0                | 10.1235         | -240.9936      | -117.4673    | -1.9027         | -1.8786       |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.19.1