metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tranlation_model
results: []
tranlation_model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6130
- Bleu: 5.5571
- Gen Len: 17.6
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
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
1.8791 | 1.0 | 6355 | 1.6361 | 5.3414 | 17.6238 |
1.8051 | 2.0 | 12710 | 1.6130 | 5.5571 | 17.6 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.15.0