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igorktech / tribble-70m
Model's Last Updated: September 11 2024
Introduction of tribble-70m
Model Details of tribble-70m
nllb-200-tiny-tuned
This model is a fine-tuned version of igorktech/nllb-pruned-6L-512d-finetuned-v1 on the your_dataset_name dataset. It achieves the following results on the evaluation set:
- Loss: 0.0980
- Bleu: 52.9983
- Chrf++: 73.2746
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf++ |
|---|---|---|---|---|---|
| 0.2285 | 0.6563 | 5000 | 0.1744 | 37.0851 | 62.3627 |
| 0.1872 | 1.3125 | 10000 | 0.1214 | 47.5689 | 69.8186 |
| 0.1089 | 1.9688 | 15000 | 0.0980 | 52.9983 | 73.2746 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
Runs of igorktech tribble-70m on huggingface.co
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More Information About tribble-70m huggingface.co Model
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