byt5-base-es_ngu

This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6839
• Bleu: 8.2072
• Gen Len: 97.5599

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 65
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	397	1.0434	0.0481	19.0
1.5127	2.0	794	0.9015	0.0772	19.0
1.0539	3.0	1191	0.8207	0.0991	19.0
0.932	4.0	1588	0.7716	0.0925	19.0
0.932	5.0	1985	0.7394	0.1292	19.0
0.8578	6.0	2382	0.7168	0.1101	19.0
0.8102	7.0	2779	0.6981	0.1465	19.0
0.7837	8.0	3176	0.6898	0.1574	19.0
0.7597	9.0	3573	0.6846	0.1562	19.0
0.7597	10.0	3970	0.6839	0.1592	19.0

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3