This model is a fine-tuned version of bhadresh-savani/electra-base-emotion on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4449

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.4584	1.0	3029	0.6369
0.5514	2.0	6058	0.4449

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

rizvi-rahil786/electra-base-emotion-uflood

electra-base-emotion-uflood

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rizvi-rahil786/
electra-base-emotion-uflood