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gpt2-fine-tuned-math – AI Model by rkumar1999 | AlphaNeural AI
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gpt2-fine-tuned-math
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
openai-community/gpt2
adapter
mit
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gpt2-fine-tuned-math
This model is a fine-tuned version of
gpt2
on an unknown dataset.
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
Training results
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
