tranlation_model

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

• Loss: 1.6130
• Bleu: 5.5571
• Gen Len: 17.6

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.8791	1.0	6355	1.6361	5.3414	17.6238
1.8051	2.0	12710	1.6130	5.5571	17.6

Framework versions

• Transformers 4.35.2
• Pytorch 2.3.1+cu118
• Datasets 2.20.0
• Tokenizers 0.15.0