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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- SFT |
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- WeniGPT |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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datasets: |
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- generator |
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model-index: |
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- name: WeniGPT-Agents-Mistral-1.0.11-SFT |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# WeniGPT-Agents-Mistral-1.0.11-SFT |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1287 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 330 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.0466 | 0.5357 | 30 | 1.1547 | |
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| 0.8783 | 1.0714 | 60 | 1.1288 | |
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| 0.6778 | 1.6071 | 90 | 1.1287 | |
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| 0.4609 | 2.1429 | 120 | 1.1453 | |
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| 0.3946 | 2.6786 | 150 | 1.1766 | |
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| 0.2669 | 3.2143 | 180 | 1.2127 | |
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| 0.2871 | 3.75 | 210 | 1.2313 | |
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| 0.1831 | 4.2857 | 240 | 1.2560 | |
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| 0.2145 | 4.8214 | 270 | 1.2665 | |
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| 0.167 | 5.3571 | 300 | 1.2968 | |
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| 0.1569 | 5.8929 | 330 | 1.2957 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
