resume

Dorost/resume

resume is a text classification model from Dorost. 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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Model card

From the Hugging Face model README

resume

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: 0.0166
F1: 1.0

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	F1
3.0448	1.0	49	2.7245	0.1290
2.2276	2.0	98	1.7165	0.4683
1.116	3.0	147	0.8720	0.8333
0.5606	4.0	196	0.3686	1.0
0.2374	5.0	245	0.1431	1.0
0.1084	6.0	294	0.0612	1.0
0.0598	7.0	343	0.0328	1.0
0.0386	8.0	392	0.0216	1.0
0.0276	9.0	441	0.0175	1.0
0.0271	10.0	490	0.0166	1.0

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: May 30, 2023
Updated: Jul 9, 2023