test-mac-411

hucruz/test-mac-411

test-mac-411 is a text classification model from hucruz. 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: distilbert
Access: Public
Created: Apr 20, 2023
Updated: Apr 20, 2023
SHA: 26d7879e

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Model card

From the Hugging Face model README

test-mac-411

This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1085
Accuracy: 0.9634

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: 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	47	0.9559	0.7073
No log	2.0	94	0.4789	0.9268
No log	3.0	141	0.2480	0.9634
No log	4.0	188	0.1754	0.9634
No log	5.0	235	0.1338	0.9634
No log	6.0	282	0.1218	0.9634
No log	7.0	329	0.1170	0.9634
No log	8.0	376	0.1108	0.9756
No log	9.0	423	0.1090	0.9634
No log	10.0	470	0.1085	0.9634

Framework versions

Transformers 4.26.1
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
Created: Apr 20, 2023
Updated: Apr 20, 2023