mistral_numericnlg_FV
This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2038
- Rouge1: 0.6650
- Rougel: 0.5559
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 3407
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rougel |
|---|---|---|---|---|---|
| 1.3723 | 0.9446 | 16 | 1.3128 | 0.6406 | 0.5251 |
| 1.2226 | 1.9483 | 33 | 1.2305 | 0.6603 | 0.5562 |
| 1.1781 | 2.9520 | 50 | 1.2129 | 0.6658 | 0.5556 |
| 1.2057 | 3.9557 | 67 | 1.2062 | 0.6659 | 0.5560 |
| 1.215 | 4.9594 | 84 | 1.2040 | 0.6656 | 0.5551 |
| 1.1676 | 5.6679 | 96 | 1.2038 | 0.6650 | 0.5559 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.0
- Datasets 2.16.0
- Tokenizers 0.19.1
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Base model
unsloth/mistral-7b-instruct-v0.2-bnb-4bit