elvish-translator-quenya-t5-small
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9119
- Bleu: 0.1206
- Gen Len: 16.6875
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 4.9376 | 1.0 | 144 | 4.3320 | 0.1122 | 16.9514 |
| 4.5062 | 2.0 | 288 | 4.1559 | 0.1191 | 15.9653 |
| 4.3624 | 3.0 | 432 | 4.0699 | 0.1118 | 16.7361 |
| 4.2832 | 4.0 | 576 | 4.0222 | 0.1474 | 16.3125 |
| 4.2286 | 5.0 | 720 | 3.9854 | 0.1421 | 16.2778 |
| 4.1762 | 6.0 | 864 | 3.9550 | 0.1107 | 16.9583 |
| 4.14 | 7.0 | 1008 | 3.9386 | 0.1215 | 16.1944 |
| 4.087 | 8.0 | 1152 | 3.9221 | 0.1232 | 16.7153 |
| 4.0988 | 9.0 | 1296 | 3.9154 | 0.1206 | 16.6875 |
| 4.0738 | 10.0 | 1440 | 3.9119 | 0.1206 | 16.6875 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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