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emotion – AI Model by quesmed | AlphaNeural AI
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quesmed
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emotion
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
bhadresh-savani/distilbert-base-uncased-emotion
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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emotion
This model is a fine-tuned version of
bhadresh-savani/distilbert-base-uncased-emotion
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3369
Accuracy: 0.5333
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: 1.9751278154829286e-05
train_batch_size: 16
eval_batch_size: 8
seed: 4
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
No log
1.0
8
1.3971
0.4
1.3064
2.0
16
1.3286
0.5333
1.153
3.0
24
1.3240
0.5333
0.9528
4.0
32
1.3369
0.5333
Framework versions
Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.1
Tokenizers 0.13.3
