Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
gpt_1_sequence_classification_finetune – AI Model by jacob-danner | AlphaNeural AI
You can deploy this model and start earning money today!
jacob-danner
/
gpt_1_sequence_classification_finetune
like
0
transformers
safetensors
openai-gpt
text-classification
generated_from_trainer
openai-community/openai-gpt
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
gpt_1_sequence_classification_finetune
This model is a fine-tuned version of
openai-gpt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3295
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: 5.38312346311055e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15
Training results
Training Loss
Epoch
Step
Validation Loss
1.6661
1.0
12
1.4575
1.3696
2.0
24
1.0023
0.6977
3.0
36
0.5564
0.3751
4.0
48
0.4573
0.2528
5.0
60
0.3803
0.1503
6.0
72
0.2699
0.0863
7.0
84
0.2888
0.0547
8.0
96
0.3295
Framework versions
Transformers 4.49.0
Pytorch 2.6.0
Datasets 3.4.0
Tokenizers 0.21.1
