madlad400-finetuned-eng-new
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: 0.0839
- Chrf: 80.9748
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: 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_ratio: 0.1
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf |
|---|---|---|---|---|
| 0.5591 | 1.6529 | 1600 | 0.4669 | 54.3759 |
| 0.3654 | 3.3058 | 3200 | 0.2716 | 63.9375 |
| 0.3005 | 4.9587 | 4800 | 0.1920 | 68.7804 |
| 0.2228 | 6.6116 | 6400 | 0.1369 | 73.8741 |
| 0.1602 | 8.2645 | 8000 | 0.0995 | 78.4278 |
| 0.1437 | 9.9174 | 9600 | 0.0840 | 80.9463 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for sil-ai/madlad400-finetuned-eng-new
Base model
jbochi/madlad400-3b-mt