elvish-translator-quenya-t5-3b
This model is a fine-tuned version of google-t5/t5-3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.3158
- Bleu: 0.216
- Gen Len: 13.0139
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Bleu | Gen Len |
---|---|---|---|---|---|
0.0445 | 1.0 | 144 | 5.3158 | 0.216 | 13.0139 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for Oysiyl/elvish-translator-quenya-t5-3b
Base model
google-t5/t5-3b