madlad400-finetuned-nih-en
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: 7.0439
- Chrf: 30.0668
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: 4
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 7.383 | 1.0 | 223 | 7.3002 | 22.5965 |
| 7.4008 | 2.0 | 446 | 7.1718 | 25.7886 |
| 7.2421 | 3.0 | 669 | 7.0958 | 28.2855 |
| 6.9042 | 4.0 | 892 | 7.0573 | 29.3997 |
| 7.1314 | 5.0 | 1115 | 7.0439 | 30.0668 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for sil-ai/madlad400-finetuned-nih-en
Base model
jbochi/madlad400-3b-mt