biorecall-flan-t5-small-reasoning

sharraks97/biorecall-flan-t5-small-reasoning

biorecall-flan-t5-small-reasoning is a machine learning model from sharraks97. 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: t5
Access: Public
Created: Nov 16, 2025
Updated: Nov 17, 2025
SHA: 1f0a4ba3

Base models

google/flan-t5-small

Model card

From the Hugging Face model README

biorecall-flan-t5-small-reasoning

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3262
Bertscore F1: 0.5967

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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bertscore F1
No log	1.0	219	2.3386	0.5943
No log	2.0	438	2.3287	0.5959
2.4809	3.0	657	2.3181	0.5977
2.4809	4.0	876	2.3200	0.5991
2.2488	5.0	1095	2.3262	0.5967

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 16, 2025
Updated: Nov 17, 2025