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distilgpt2-finetuned-python_code_instructions_18k_alpaca-GGUF – AI Model by QuantFactory | AlphaNeural AI
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distilgpt2-finetuned-python_code_instructions_18k_alpaca-GGUF
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distilbert/distilgpt2
quantized
iamtarun/python_code_instructions_18k_alpaca
en
endpoints_compatible
generated_from_trainer
gguf
template
apache-2.0
us
text-generation
transformers
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QuantFactory/distilgpt2-finetuned-python_code_instructions_18k_alpaca-GGUF
This is quantized version of
Vishaltiwari2019/distilgpt2-finetuned-python_code_instructions_18k_alpaca
created using llama.cpp
Original Model Card
distilgpt2-finetuned-python_code_instructions_18k_alpaca
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5063
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.7264
1.0
3861
1.5890
1.6046
2.0
7722
1.5214
1.5359
3.0
11583
1.5063
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
