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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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- generated_from_trainer |
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base_model: NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2 |
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model-index: |
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- name: mistral-sigoIAspirantes-Orca-oass-500-gpu |
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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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# mistral-sigoIAspirantes-Orca-oass-500-gpu |
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This model is a fine-tuned version of [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2](https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1371 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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_steps: 1 |
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- training_steps: 500 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.6909 | 0.3521 | 25 | 1.2135 | |
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| 1.026 | 0.7042 | 50 | 0.8374 | |
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| 0.7146 | 1.0563 | 75 | 0.6276 | |
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| 0.5094 | 1.4085 | 100 | 0.4925 | |
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| 0.3916 | 1.7606 | 125 | 0.3939 | |
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| 0.3408 | 2.1127 | 150 | 0.3084 | |
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| 0.1724 | 2.4648 | 175 | 0.2717 | |
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| 0.2586 | 2.8169 | 200 | 0.2026 | |
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| 0.1434 | 3.1690 | 225 | 0.1940 | |
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| 0.1253 | 3.5211 | 250 | 0.1579 | |
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| 0.1197 | 3.8732 | 275 | 0.1526 | |
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| 0.0792 | 4.2254 | 300 | 0.1582 | |
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| 0.0937 | 4.5775 | 325 | 0.1579 | |
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| 0.0898 | 4.9296 | 350 | 0.1381 | |
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| 0.0717 | 5.2817 | 375 | 0.1386 | |
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| 0.0665 | 5.6338 | 400 | 0.1350 | |
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| 0.0773 | 5.9859 | 425 | 0.1325 | |
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| 0.0602 | 6.3380 | 450 | 0.1394 | |
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| 0.055 | 6.6901 | 475 | 0.1377 | |
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| 0.0602 | 7.0423 | 500 | 0.1371 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
