distilbert-base-uncased-finetuned-emotion-epochs-2

Shaurya-Shsin/distilbert-base-uncased-finetuned-emotion-epochs-2

distilbert-base-uncased-finetuned-emotion-epochs-2 is a machine learning model from Shaurya-Shsin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

Downloads · 30 days

5% of all-time downloads

All-time downloads

Public

Repo size

536 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin268 MB · 100%

At a glance

License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 17, 2024
Updated: Sep 17, 2024
SHA: e22e8573

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-emotion-epochs-2

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: 0.2245
Accuracy: 0.92
F1: 0.9201

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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.8059	1.0	250	0.3121	0.9035	0.9003
0.2457	2.0	500	0.2245	0.92	0.9201

Framework versions

Transformers 4.16.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Sep 17, 2024
Updated: Sep 17, 2024