clasificador-tweet-emotion – AI Model by PatriVaca | AlphaNeural AI

You can deploy this model and start earning money today!

PatriVaca/
clasificador-tweet-emotion

like

0

text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

Views

No views yet

clasificador-tweet-emotion

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

Loss: 0.2186
Accuracy: 0.935

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2353	1.0	2000	0.1768	0.9275
0.1440	2.0	4000	0.1634	0.932
0.0941	3.0	6000	0.2186	0.935

Framework versions

Transformers 5.5.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2