results
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4662
- eval_runtime: 28.1492
- eval_samples_per_second: 95.491
- eval_steps_per_second: 5.968
- epoch: 2.0
- step: 3024
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: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google-t5/t5-small