byt5-base-es_guc

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: 0.7552
• Bleu: 2.594
• Gen Len: 100.8294

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	381	1.0652	0.0167	19.0
1.5288	2.0	762	0.9339	0.0402	19.0
1.063	3.0	1143	0.8651	0.0311	19.0
0.9558	4.0	1524	0.8271	0.1018	19.0
0.9558	5.0	1905	0.8043	0.0744	19.0
0.8979	6.0	2286	0.7831	0.0786	19.0
0.8598	7.0	2667	0.7699	0.086	19.0
0.8346	8.0	3048	0.7630	0.0803	19.0
0.8346	9.0	3429	0.7572	0.1179	19.0
0.8194	10.0	3810	0.7552	0.1133	19.0

Framework versions

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