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nbme-gpt2 – AI Model by smeoni | AlphaNeural AI
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smeoni
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nbme-gpt2
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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nbme-gpt2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3684
Accuracy: 0.5070
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.99
101
2.5636
0.4809
No log
1.99
202
2.4075
0.5018
No log
2.99
303
2.3684
0.5070
Framework versions
Transformers 4.19.0.dev0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
