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emotion_results – AI Model by CKdt | AlphaNeural AI
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emotion_results
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transformers
tensorboard
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_results
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: 0.1761
Accuracy: 0.926
F1 Macro: 0.8862
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: 16
eval_batch_size: 16
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 Macro
0.208
1.0
1000
0.1863
0.9285
0.9022
0.153
2.0
2000
0.1528
0.938
0.9106
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 2.21.0
Tokenizers 0.22.1
