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dal-bert-finetuned-emotion – AI Model by taha766 | AlphaNeural AI
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taha766
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dal-bert-finetuned-emotion
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transformers
safetensors
bert
text-classification
generated_from_trainer
sharif-dal/dal-bert
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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dal-bert-finetuned-emotion
This model is a fine-tuned version of
sharif-dal/dal-bert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2940
Accuracy: 0.8803
F1: 0.8801
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.3122
1.0
1629
0.2858
0.8811
0.8808
0.2463
2.0
3258
0.2940
0.8803
0.8801
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
