mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214

This model is a fine-tuned version of Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0046
• Bleu: 17.7500

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
2.4438	1.0	33611	2.0445	16.6555
2.3878	2.0	67222	2.0143	17.3884
2.3861	3.0	100833	2.0046	17.7500

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2