medical_pubmed_8_13

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: 0.4152

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: 0.0008
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• 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
No log	1.0	116	1.1820
No log	2.0	232	0.9593
No log	2.99	348	0.8661
No log	4.0	465	0.7556
1.1936	5.0	581	0.6927
1.1936	6.0	697	0.6299
1.1936	6.99	813	0.5801
1.1936	8.0	930	0.5377
0.39	9.0	1046	0.5023
0.39	10.0	1162	0.4725
0.39	10.99	1278	0.4500
0.39	12.0	1395	0.4350
0.1727	13.0	1511	0.4206
0.1727	14.0	1627	0.4147
0.1727	14.99	1743	0.4129
0.1727	16.0	1860	0.4106
0.1727	17.0	1976	0.4127
0.0757	18.0	2092	0.4138
0.0757	18.99	2208	0.4145
0.0757	19.96	2320	0.4152

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3