esm2m35finetunedcytmem

francescopatane/esm2m35finetunedcytmem

esm2m35finetunedcytmem is a text classification model from francescopatane. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: esm
Access: Public
Created: May 3, 2023
Updated: May 3, 2023
SHA: 26cae8d0

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Model card

From the Hugging Face model README

esm2_t12_35M_UR50D-localization_cyt_mem_model_esm2

This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.2338
Train Accuracy: 0.9216
Validation Loss: 0.1948
Validation Accuracy: 0.9386
Epoch: 0

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.2338	0.9216	0.1948	0.9386	0

Framework versions

Transformers 4.28.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: May 3, 2023
Updated: May 3, 2023