distilbert-finetuned-go-emotions_dataset – AI Model by abdurrahman22224 | AlphaNeural AI

You can deploy this model and start earning money today!

abdurrahman22224/
distilbert-finetuned-go-emotions_dataset

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-finetuned-go-emotions_dataset

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

Loss: 1.5221
Accuracy: 0.5844
F1: 0.5241

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: 1e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	262	1.9841	0.4993	0.3718
2.1649	2.0	524	1.6903	0.5508	0.4546
2.1649	3.0	786	1.5779	0.5732	0.4992
1.5746	4.0	1048	1.5320	0.5800	0.5114
1.5746	5.0	1310	1.5221	0.5844	0.5241

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1