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codeparrot-ds-model – AI Model by mdroth | AlphaNeural AI
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codeparrot-ds-model
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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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codeparrot-ds-model
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9573
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: 0.0005
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.457
1.0000
260969
1.4075
1.2173
2.0000
521938
1.1758
0.985
3.0000
782907
0.9573
Framework versions
Transformers 4.48.3
Pytorch 2.3.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
