indictrans-en-ne-checkpoint-1B-2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1300
- Bleu: 37.7435
- Chrf: 61.2886
- Num Input Tokens Seen: 196608000
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Input Tokens Seen |
|---|---|---|---|---|---|---|
| 0.1232 | 0.2897 | 1000 | 0.1388 | 36.0713 | 60.2577 | 65536000 |
| 0.1306 | 0.5795 | 2000 | 0.1324 | 37.0443 | 60.8360 | 131072000 |
| 0.1309 | 0.8692 | 3000 | 0.1300 | 37.7435 | 61.2886 | 196608000 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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