xlnet-base-mnli-fer-finetuned

vish88/xlnet-base-mnli-fer-finetuned

xlnet-base-mnli-fer-finetuned is a text classification model from vish88. 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: xlnet
Access: Public
Created: Jul 25, 2022
Updated: Jul 27, 2022
SHA: 70b185f6

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Model card

From the Hugging Face model README

xlnet-base-mnli-fer-finetuned

This model is a fine-tuned version of clevrly/xlnet-base-mnli-finetuned on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0152
Accuracy: 0.7794

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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
0.5828	1.0	2219	0.9689	0.7277
0.578	2.0	4438	1.1408	0.7310
0.5027	3.0	6657	0.9754	0.7742
0.4233	4.0	8876	1.0719	0.7751
0.3026	5.0	11095	1.0152	0.7794

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: xlnet
License: mit
Created: Jul 25, 2022
Updated: Jul 27, 2022