public-finance-mistral
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: 0.2368
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 1.2601 |
| 1.906 | 2.0 | 12 | 0.7329 |
| 1.906 | 3.0 | 18 | 0.4273 |
| 0.9496 | 4.0 | 24 | 0.2872 |
| 0.7822 | 5.0 | 30 | 0.2423 |
| 0.7822 | 6.0 | 36 | 0.2370 |
| 0.6482 | 7.0 | 42 | 0.2368 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for clement-cvll/public-finance-mistral
Base model
mistralai/Mistral-7B-Instruct-v0.2