medical_pubmed_8_17

DogGoesBark/medical_pubmed_8_17

medical_pubmed_8_17 is a machine learning model from DogGoesBark. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: marian
Access: Public
Created: Jul 17, 2023
Updated: Jul 17, 2023
SHA: 410ae49a

Model card

From the Hugging Face model README

medical_pubmed_8_17

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: 0.6241
Bleu: 55.4484
Gen Len: 120.0374

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
0.8607	4.02	1000	0.8474	48.0728	120.0052
0.6375	8.05	2000	0.7323	51.0672	120.0352
0.5108	12.07	3000	0.6650	53.5194	120.0414
0.4362	16.1	4000	0.6241	55.4484	120.0374

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Library: transformers
Type: marian
License: apache-2.0
Created: Jul 17, 2023
Updated: Jul 17, 2023