metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_model_en_to_ur
results: []
my_model_en_to_ur
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2587
- Bleu: 0.0
- Gen Len: 18.2573
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|
| 0.3014 | 1.0 | 1250 | 0.2716 | 0.0 | 18.4279 |
| 0.2854 | 2.0 | 2500 | 0.2639 | 0.0 | 18.3976 |
| 0.2772 | 3.0 | 3750 | 0.2610 | 0.0 | 18.1718 |
| 0.2752 | 4.0 | 5000 | 0.2591 | 0.0 | 18.255 |
| 0.2766 | 5.0 | 6250 | 0.2587 | 0.0 | 18.2573 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0