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gpt-neo-125m-finetuned-python-purpose – AI Model by JstnMcBrd | AlphaNeural AI
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JstnMcBrd
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gpt-neo-125m-finetuned-python-purpose
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transformers
safetensors
gpt_neo
text-generation
generated_from_trainer
en
flytech/python-codes-25k
EleutherAI/gpt-neo-125m
finetune
mit
endpoints_compatible
us
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gpt-neo-125m-finetuned-python-purpose
This model is a fine-tuned version of
EleutherAI/gpt-neo-125m
on
flytech/python-codes-25k
. It achieves the following results on the evaluation set:
Loss: 0.5111
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: 2
eval_batch_size: 2
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.0668
1.0
16465
1.0478
0.7091
2.0
32930
0.8226
0.3594
3.0
49395
0.6467
0.1542
4.0
65860
0.5474
0.044
5.0
82325
0.5111
Framework versions
Transformers 4.57.1
Pytorch 2.4.1+cu121
Datasets 4.4.1
Tokenizers 0.22.1
