ESM_EndToEnd

vadams2327/ESM_EndToEnd

ESM_EndToEnd is a text classification model from vadams2327. 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.

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

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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: esm
Access: Public
Created: Jul 22, 2024
Updated: Jul 22, 2024
SHA: 8d07ead9

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Base models

facebook/esm2_t33_650M_UR50D

Model card

From the Hugging Face model README

ESM_EndToEnd

This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9955
Accuracy: 0.6857

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: 2e-05
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	35	1.0016	0.5714
No log	2.0	70	0.7018	0.6
No log	3.0	105	0.6536	0.6286
No log	4.0	140	1.1304	0.6571
No log	5.0	175	0.9955	0.6857

Framework versions

Transformers 4.42.4
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: esm
License: mit
Created: Jul 22, 2024
Updated: Jul 22, 2024