metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: hieroglyph_unicode_translator_t5_small
results: []
hieroglyph_unicode_translator_t5_small
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.1388
Gen Len: 6.946
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 5.0665 | 1.0 | 688 | 4.2034 | 0.0 | 6.946 |
| 4.4621 | 2.0 | 1376 | 4.1388 | 0.0 | 6.946 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.2.0.dev20231113
- Datasets 2.12.0
- Tokenizers 0.13.3