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distilbert-base-uncased-finetuned-emotion – AI Model by baw2553 | AlphaNeural AI
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baw2553
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distilbert-base-uncased-finetuned-emotion
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2158
Accuracy: 0.9245
F1: 0.9244
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: 64
eval_batch_size: 64
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.8392
1.0
250
0.3037
0.913
0.9120
0.2472
2.0
500
0.2158
0.9245
0.9244
Framework versions
Transformers 5.14.1
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2
