Lilt_xlmRoberta-finetuned

RobertoFont/Lilt_xlmRoberta-finetuned

Lilt_xlmRoberta-finetuned is a text classification model from RobertoFont. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: lilt
Access: Public
Created: Jan 15, 2023
Updated: Jan 15, 2023
SHA: 2af9778c

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Model card

From the Hugging Face model README

Lilt_xlmRoberta-finetuned

This model is a fine-tuned version of RobertoFont/lilt-xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8585
Accuracy: 0.756

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	78	1.6469	0.524
No log	2.0	156	1.2372	0.644
No log	3.0	234	1.0487	0.686
No log	4.0	312	0.9515	0.723
No log	5.0	390	0.9319	0.735
No log	6.0	468	0.8965	0.742
No log	7.0	546	0.8809	0.754
No log	8.0	624	0.8597	0.756
No log	9.0	702	0.8673	0.758
No log	10.0	780	0.8585	0.756

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: lilt
Created: Jan 15, 2023
Updated: Jan 15, 2023