medical_pubmed_8_19

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: 0.4625
• Bleu: 58.7452
• Gen Len: 119.0251

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: 8e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.8785	3.25	1000	0.8319	47.8321	118.9146
0.6571	6.5	2000	0.7008	50.9386	118.9497
0.5257	9.76	3000	0.5956	53.6824	118.9724
0.4406	13.01	4000	0.5257	56.3775	119.0075
0.3834	16.26	5000	0.4808	57.9502	119.0302
0.3541	19.51	6000	0.4625	58.7452	119.0251

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3