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s1_5epoch – AI Model by jarod0411 | AlphaNeural AI
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jarod0411
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s1_5epoch
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tensorboard
safetensors
gpt2
generated_from_trainer
openai-community/gpt2
finetune
mit
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s1_5epoch
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6345
Accuracy: 0.7966
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: 24
eval_batch_size: 24
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 192
total_eval_batch_size: 192
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7369
1.0
3545
0.6993
0.7806
0.6889
2.0
7090
0.6606
0.7901
0.6694
3.0
10635
0.6445
0.7942
0.66
4.0
14180
0.6373
0.7959
0.6561
5.0
17725
0.6345
0.7966
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
