opus-mt-en-es-finetuned-es-to-pbb-v2

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6535
• Bleu: 1.2729
• Gen Len: 90.5316

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	199	2.3626	0.171	109.5972
No log	2.0	398	2.0302	0.3065	95.3081
2.712	3.0	597	1.8861	0.7019	96.8497
2.712	4.0	796	1.8081	0.6924	93.4432
2.712	5.0	995	1.7496	0.9599	90.7563
1.942	6.0	1194	1.7133	1.0843	92.4646
1.942	7.0	1393	1.6859	1.1072	92.8725
1.7861	8.0	1592	1.6696	1.243	91.2184
1.7861	9.0	1791	1.6569	1.2595	90.1641
1.7861	10.0	1990	1.6535	1.2729	90.5316

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3