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emotion-distilbert – AI Model by MahnoorIqbal | AlphaNeural AI
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MahnoorIqbal
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emotion-distilbert
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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emotion-distilbert
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1997
Accuracy: 0.9255
F1: 0.9269
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_FUSED 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
0.7426
1.0
500
0.2460
0.9105
0.9123
0.2077
2.0
1000
0.1997
0.9255
0.9269
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
