geez_t5-big-15k
This model is a fine-tuned version of Samuael/geez_t5-big-15k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8007
- Wer: 0.2339
- Cer: 0.0556
- Bleu: 58.8529
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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu |
|---|---|---|---|---|---|---|
| 0.2136 | 1.0 | 29311 | 0.8007 | 0.2339 | 0.0556 | 58.8529 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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