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distilbert-base-uncased-finetuned-emotion-sushant – AI Model by sushistarlord | AlphaNeural AI
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distilbert-base-uncased-finetuned-emotion-sushant
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
emotion
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-emotion-sushant
This model is a fine-tuned version of
distilbert-base-uncased
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.2815
Accuracy: 0.9135
F1: 0.9128
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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
63
0.9420
0.6785
0.6074
No log
2.0
126
0.4520
0.8705
0.8593
No log
3.0
189
0.3137
0.9095
0.9084
0.6765
4.0
252
0.2815
0.9135
0.9128
Framework versions
Transformers 4.36.1
Pytorch 2.1.0+cu121
Datasets 2.14.4
Tokenizers 0.15.0
