infoxlm-base-on-custom-kural-500

bikram22pi7/infoxlm-base-on-custom-kural-500

infoxlm-base-on-custom-kural-500 is a text classification model from bikram22pi7. 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. --

Downloads · 30 days

13% of all-time downloads

All-time downloads

Public

Parameters

278M

1.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.1 GB · 98%

At a glance

Task: Text Classification
Library: transformers
Model type: xlm-roberta
Access: Public
Created: Apr 8, 2024
Updated: Apr 8, 2024
SHA: f7d59f2a

Try a prompt

Base models

microsoft/infoxlm-base

Model card

From the Hugging Face model README

infoxlm-base-on-custom-kural-500

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

Loss: 0.3054
Accuracy: 0.92

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: 16
eval_batch_size: 16
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	25	0.4810	0.69
No log	2.0	50	0.3052	0.84
No log	3.0	75	0.4182	0.87
No log	4.0	100	0.2655	0.88
No log	5.0	125	0.2033	0.92
No log	6.0	150	0.3515	0.91
No log	7.0	175	0.2704	0.92
No log	8.0	200	0.3026	0.94
No log	9.0	225	0.3276	0.91
No log	10.0	250	0.3054	0.92

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: xlm-roberta
Created: Apr 8, 2024
Updated: Apr 8, 2024