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go-emotions-distilbert-pytorch – AI Model by tuhanasinan | AlphaNeural AI
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tuhanasinan
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go-emotions-distilbert-pytorch
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
google-research-datasets/go_emotions
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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go-emotions-distilbert-pytorch
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: 1.2902
Accuracy: 0.6196
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: 5e-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
No log
1.0
284
1.3560
0.6176
1.578
2.0
568
1.2902
0.6196
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
