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Collection
This collection will hold the models and dataset that has been used to developed the investigation. Specifically the ones that are in English
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6 items
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Updated
Mistral-7B-Instruct-v0.2-finetune-SWE_90_10_EN
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0346
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0356 | 0.9995 | 1855 | 1.4789 |
| 0.9073 | 1.9989 | 3710 | 1.4895 |
| 0.349 | 2.9984 | 5565 | 1.6255 |
| 0.2672 | 3.9978 | 7420 | 1.8033 |
| 0.341 | 4.9973 | 9275 | 2.0346 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for JuanjoLopez19/Mistral-7B-Instruct-v0.2-finetune-SWE_90_10_EN
Base model
mistralai/Mistral-7B-Instruct-v0.2