mistral7binstruct_summarize
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.4327
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 125
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7572 | 0.17 | 20 | 1.5089 |
| 1.5374 | 0.34 | 40 | 1.4566 |
| 1.4774 | 0.51 | 60 | 1.4456 |
| 1.5517 | 0.68 | 80 | 1.4398 |
| 1.5103 | 0.85 | 100 | 1.4347 |
| 1.4976 | 1.02 | 120 | 1.4327 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for lillybak/mistral7binstruct_summarize
Base model
mistralai/Mistral-7B-Instruct-v0.2