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gpt2_defeasible – AI Model by marzieh-maleki | AlphaNeural AI
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gpt2_defeasible
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
text-generation-inference
endpoints_compatible
us
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gpt2_defeasible
This model is a fine-tuned version of
openai-community/gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5771
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: 32
eval_batch_size: 32
seed: 101
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
26
2.6162
0.708
2.0
52
2.5858
0.708
3.0
78
2.5771
Framework versions
Transformers 4.56.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0
