metadata
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: finetuned-t5-base-opus-books-Translation
results: []
finetuned-t5-base-opus-books-Translation
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1340
- Bleu: 8.4165
- Gen Len: 17.5384
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: 0.0002
- train_batch_size: 112
- eval_batch_size: 112
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
1.3674 | 1.0 | 1022 | 1.1948 | 7.8489 | 17.5246 |
1.3687 | 2.0 | 2044 | 1.1482 | 8.2967 | 17.5249 |
1.1273 | 3.0 | 3066 | 1.1340 | 8.4165 | 17.5384 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2