metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus_books
type: opus_books
config: en-fr
split: train
args: en-fr
metrics:
- name: Bleu
type: bleu
value: 6.1787
my_awesome_opus_books_model
This model is a fine-tuned version of t5-small on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 1.5208
- Bleu: 6.1787
- Gen Len: 17.5934
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: 16
- 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 |
|---|---|---|---|---|---|
| 1.9112 | 1.0 | 1589 | 1.6537 | 5.2795 | 17.6478 |
| 1.8421 | 2.0 | 3178 | 1.6098 | 5.6138 | 17.6216 |
| 1.8012 | 3.0 | 4767 | 1.5801 | 5.7983 | 17.6147 |
| 1.776 | 4.0 | 6356 | 1.5611 | 5.9587 | 17.6061 |
| 1.7581 | 5.0 | 7945 | 1.5474 | 6.0336 | 17.5977 |
| 1.7416 | 6.0 | 9534 | 1.5368 | 6.0882 | 17.5966 |
| 1.7261 | 7.0 | 11123 | 1.5297 | 6.1366 | 17.5969 |
| 1.7279 | 8.0 | 12712 | 1.5245 | 6.1442 | 17.5948 |
| 1.7112 | 9.0 | 14301 | 1.5217 | 6.1715 | 17.5931 |
| 1.7162 | 10.0 | 15890 | 1.5208 | 6.1787 | 17.5934 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0