albert-emotion-provided-params

tm21cy/albert-emotion-provided-params

albert-emotion-provided-params is a text classification model from tm21cy. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

Downloads · 30 days

6% of all-time downloads

All-time downloads

Public

Parameters

67M

23.2 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors268 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Mar 10, 2024
Updated: Mar 11, 2024
SHA: 3d6f174a

Try a prompt

Base models

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4283
Accuracy: 0.6952

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: 7.45e-06
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	179	1.0664	0.6712
No log	2.0	358	1.1817	0.6806
0.118	3.0	537	1.4090	0.6681
0.118	4.0	716	1.4375	0.6691

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 10, 2024
Updated: Mar 11, 2024