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go_emo_gpt – AI Model by tingtone | AlphaNeural AI
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tingtone
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go_emo_gpt
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transformers
pytorch
tensorboard
gpt2
text-classification
generated_from_trainer
go_emotions
mit
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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go_emo_gpt
This model is a fine-tuned version of
gpt2
on the go_emotions dataset. It achieves the following results on the evaluation set:
Loss: 0.0964
F1: 0.6010
Roc Auc: 0.7659
Accuracy: 0.4996
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: 1e-05
train_batch_size: 1
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: (13023,)
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Roc Auc
Accuracy
0.105
1.0
43410
0.0967
0.5795
0.7476
0.4757
0.0949
2.0
86820
0.0938
0.6012
0.7636
0.5035
0.0837
3.0
130230
0.0964
0.6010
0.7659
0.4996
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
