t5-finetuned-en-to-ja-eval1
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3092
- eval_bleu: 0.0
- eval_gen_len: 3.008
- eval_runtime: 2.2634
- eval_samples_per_second: 220.911
- eval_steps_per_second: 4.86
- step: 0
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for tsetsuuhei/t5-finetuned-en-to-ja-eval1
Base model
google-t5/t5-base