uplimit-project-3-mistral7b
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the scitldr dataset. It achieves the following results on the evaluation set:
- Loss: 4.3280
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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8989 | 0.2 | 200 | 2.8317 |
| 3.0908 | 0.4 | 400 | 3.2010 |
| 3.7518 | 0.6 | 600 | 3.9583 |
| 4.275 | 0.8 | 800 | 4.3280 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for d4niel92/uplimit-project-3-mistral7b
Base model
mistralai/Mistral-7B-v0.1