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GPT2-arithmetic-1-3digits – AI Model by Nbeau | AlphaNeural AI
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Nbeau
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GPT2-arithmetic-1-3digits
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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GPT2-arithmetic-1-3digits
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
num_epochs: 7
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1482
0.9984
156
nan
0.0902
1.9968
312
nan
0.0804
2.9952
468
nan
0.0789
4.0
625
nan
0.0798
4.9984
781
nan
0.0776
5.9968
937
nan
0.0773
6.9888
1092
nan
Framework versions
Transformers 4.40.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1
