t5-large-translation-spa-guc

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

• Loss: nan
• Bleu: 0.6661
• Gen Len: 17.2141

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.0	1.0	7668	nan	0.6661	17.2141
0.0	2.0	15336	nan	0.6661	17.2141

Framework versions

• Transformers 4.35.2
• Pytorch 1.13.1+cu117
• Datasets 2.15.0
• Tokenizers 0.15.0