flan-t5-base-finetuned-opus_books-en-to-no-test
This model is a fine-tuned version of google/flan-t5-base on the opus_books dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.3140
- eval_bleu: 3.6909
- eval_gen_len: 17.9657
- eval_runtime: 65.0133
- eval_samples_per_second: 5.384
- eval_steps_per_second: 2.692
- epoch: 155.0
- step: 244125
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Framework versions
- Transformers 4.15.0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.10.3