tiny-t5-en-pl

This model is a fine-tuned version of t5-small on the iva_mt_wslot dataset.

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
No log	0.7692	10	1.6194	0.0

Framework versions

• Transformers 4.46.2
• Pytorch 2.2.2
• Datasets 3.1.0
• Tokenizers 0.20.3