roymgabriel
/

BioPharma

Text Classification

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text-embeddings-inference

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BioPharma

This model is a fine-tuned version of dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4073
F1: 0.8642

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: 1e-06
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1000

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Downloads last month: 6

Safetensors

Model size

14.4M params

Tensor type

F32

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Model tree for roymgabriel/BioPharma

Base model

dmis-lab/TinySapBERT-from-TinyPubMedBERT-v1.0

Finetuned

(1)

this model