madlad400-finetuned-lora
This model is a fine-tuned version of jbochi/madlad400-3b-mt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.4433
- Chrf: 37.7656
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf |
|---|---|---|---|---|
| 7.5714 | 0.9997 | 1748 | 7.4837 | 36.0379 |
| 7.5863 | 2.0 | 3497 | 7.4686 | 36.6073 |
| 7.5366 | 2.9997 | 5245 | 7.4529 | 37.1613 |
| 7.5282 | 4.0 | 6994 | 7.4461 | 37.4309 |
| 7.6738 | 4.9986 | 8740 | 7.4433 | 37.7656 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.14.4
- Tokenizers 0.19.1
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Base model
jbochi/madlad400-3b-mt