opus-mt-en-es-finetuned-en-to-es-TA-5EPOCHS

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1519
• Bleu: 36.1767
• Gen Len: 33.1691

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.1849	1.0	2989	1.1316	36.2806	32.8762
1.0928	2.0	5978	1.1345	36.2441	32.9869
1.0191	3.0	8967	1.1439	36.0699	33.0191
0.9753	4.0	11956	1.1495	36.1426	33.2622
0.9491	5.0	14945	1.1519	36.1767	33.1691

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1