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distilbert-base-uncased-finetuned-emotion – AI Model by haesung-sean | AlphaNeural AI
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haesung-sean
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distilbert-base-uncased-finetuned-emotion
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pytorch
tensorboard
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
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: 0.3818
Accuracy: 0.888
F1: 0.8817
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: 128
eval_batch_size: 128
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
1.1334
1.0
125
0.6126
0.79
0.7444
0.475
2.0
250
0.3818
0.888
0.8817
Framework versions
Transformers 4.31.0
Pytorch 1.12.0
Datasets 2.19.1
Tokenizers 0.13.3
