distilroberta-base-uncased-distilled-emotion

vladkolev/distilroberta-base-uncased-distilled-emotion

distilroberta-base-uncased-distilled-emotion is a text classification model from vladkolev. 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. --

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Model card

From the Hugging Face model README

distilroberta-base-uncased-distilled-emotion

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

Loss: 0.2657
Accuracy: 0.9078

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: 64
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9248	1.0	187	0.3691	0.8683
0.3336	2.0	374	0.2765	0.8997
0.2417	3.0	561	0.2726	0.9064
0.1975	4.0	748	0.2569	0.9084
0.1701	5.0	935	0.2613	0.9091
0.1475	6.0	1122	0.2659	0.9118
0.1317	7.0	1309	0.2657	0.9078

Framework versions

Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Mar 21, 2023
Updated: Oct 1, 2023