mistral_wikitable_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: 0.3567
- Rouge1: 0.8764
- Rougel: 0.8720
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 |
|---|---|---|---|---|---|
| 0.5561 | 0.9984 | 156 | 0.4506 | 0.8474 | 0.8405 |
| 0.4761 | 1.9968 | 312 | 0.4096 | 0.8636 | 0.8575 |
| 0.3846 | 2.9952 | 468 | 0.3823 | 0.8693 | 0.8648 |
| 0.3334 | 4.0 | 625 | 0.3666 | 0.8741 | 0.8697 |
| 0.3367 | 4.9984 | 781 | 0.3566 | 0.8773 | 0.8729 |
| 0.298 | 5.9904 | 936 | 0.3567 | 0.8764 | 0.8720 |
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