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distilbert-base-uncased-finetuned-emotion – AI Model by Mallik | AlphaNeural AI
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Mallik
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distilbert-base-uncased-finetuned-emotion
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
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: 0.2128
Accuracy: 0.925
F1: 0.9248
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.8215
1.0
250
0.3033
0.9105
0.9078
0.2435
2.0
500
0.2128
0.925
0.9248
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Tokenizers 0.13.1
