umt5-base-quechua-espanol-finetuned-model

This model is a fine-tuned version of google/umt5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.7343

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: 22
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
5.1343	0.1581	700	2.7338
3.0956	0.3162	1400	2.3095
2.5227	0.4744	2100	2.0817
2.3735	0.6325	2800	1.9237
2.1474	0.7906	3500	1.8187
2.0653	0.9487	4200	1.7343

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1