MAL-10epoch-RobertaMul

Rahul-G/MAL-10epoch-RobertaMul

MAL-10epoch-RobertaMul is a text classification model from Rahul-G. 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. --

Downloads · 30 days

35% of all-time downloads

All-time downloads

Public

Repo size

2.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.1 GB · 100%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Oct 23, 2023
Updated: Oct 23, 2023
SHA: 03eb5b38

Try a prompt

Base models

Model card

From the Hugging Face model README

MAL-10epoch-RobertaMul

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

Loss: 1.0960
Accuracy: 0.2759

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: 10
eval_batch_size: 10
seed: 42
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	9	1.0976	0.1207
No log	2.0	18	1.1748	0.6379
No log	3.0	27	1.3041	0.6379
No log	4.0	36	1.2111	0.5690
No log	5.0	45	1.1047	0.3276
No log	6.0	54	1.1429	0.3276
No log	7.0	63	1.0923	0.3448
No log	8.0	72	1.0913	0.3276
No log	9.0	81	1.0882	0.3103
No log	10.0	90	1.0960	0.2759

Framework versions

Transformers 4.35.0.dev0
Pytorch 1.13.1
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Oct 23, 2023
Updated: Oct 23, 2023