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gpt2_tryout – AI Model by troesy | AlphaNeural AI
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gpt2_tryout
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transformers
pytorch
tensorboard
gpt2
token-classification
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2_tryout
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2275
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9182
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
174
0.2725
0.0
0.0
0.0
0.9019
No log
2.0
348
0.2395
0.0
0.0
0.0
0.9141
0.3173
3.0
522
0.2275
0.0
0.0
0.0
0.9182
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
