metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: elvish-translator-quenya-t5-small
results: []
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: 4.1552
- Bleu: 0.0813
- Gen Len: 16.4792
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 4.9485 | 1.0 | 144 | 4.4460 | 0.0 | 16.875 |
| 4.515 | 2.0 | 288 | 4.2735 | 0.0 | 16.625 |
| 4.3579 | 3.0 | 432 | 4.1977 | 0.0 | 16.7014 |
| 4.3095 | 4.0 | 576 | 4.1644 | 0.0818 | 16.5417 |
| 4.2744 | 5.0 | 720 | 4.1552 | 0.0813 | 16.4792 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1