mt5-translation

This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7159
• Bleu: 10.6499
• Gen Len: 16.7851

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.0268	1.0	2574	1.8408	9.2984	16.773
1.8847	2.0	5148	1.7699	10.0177	16.7833
1.8062	3.0	7722	1.7376	10.3779	16.7845
1.7531	4.0	10296	1.7196	10.6038	16.7847
1.7214	5.0	12870	1.7159	10.6499	16.7851

Framework versions

• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.4.0
• Tokenizers 0.21.0