metadata
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-large-translation-spa-guc
results: []
t5-large-translation-spa-guc
This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0832
- Bleu: 0.952
- Gen Len: 17.9397
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.3886 | 1.0 | 12889 | 1.2435 | 0.7737 | 17.9241 |
| 1.3043 | 2.0 | 25778 | 1.1197 | 0.9071 | 17.9235 |
| 1.2024 | 3.0 | 38667 | 1.0832 | 0.952 | 17.9397 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0