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distilbert-base-uncased-finetuned-emotion – AI Model by mu-yeong | AlphaNeural AI
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mu-yeong
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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
text-embeddings-inference
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: 0.2148
Accuracy: 0.928
F1: 0.9280
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
0.8508
1.0
250
0.3157
0.9105
0.9097
0.255
2.0
500
0.2148
0.928
0.9280
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu130
Datasets 4.4.1
Tokenizers 0.22.1
