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Vishaltiwari2019_-_distilgpt2-finetuned-python_code_instructions_18k_alpaca-gguf – AI Model by RichardErkhov | AlphaNeural AI | AlphaNeural AI
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distilgpt2-finetuned-python_code_instructions_18k_alpaca - GGUF
Model creator:
https://huggingface.co/Vishaltiwari2019/
Original model:
https://huggingface.co/Vishaltiwari2019/distilgpt2-finetuned-python_code_instructions_18k_alpaca/
Name
Quant method
Size
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q2_K.gguf
Q2_K
0.06GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.IQ3_XS.gguf
IQ3_XS
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.IQ3_S.gguf
IQ3_S
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q3_K_S.gguf
Q3_K_S
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.IQ3_M.gguf
IQ3_M
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q3_K.gguf
Q3_K
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q3_K_M.gguf
Q3_K_M
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q3_K_L.gguf
Q3_K_L
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.IQ4_XS.gguf
IQ4_XS
0.07GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q4_0.gguf
Q4_0
0.08GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.IQ4_NL.gguf
IQ4_NL
0.08GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q4_K_S.gguf
Q4_K_S
0.08GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q4_K.gguf
Q4_K
0.08GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q4_K_M.gguf
Q4_K_M
0.08GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q4_1.gguf
Q4_1
0.08GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q5_0.gguf
Q5_0
0.09GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q5_K_S.gguf
Q5_K_S
0.09GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q5_K.gguf
Q5_K
0.09GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q5_K_M.gguf
Q5_K_M
0.09GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q5_1.gguf
Q5_1
0.09GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q6_K.gguf
Q6_K
0.1GB
distilgpt2-finetuned-python_code_instructions_18k_alpaca.Q8_0.gguf
Q8_0
0.12GB
Original model description:
license: mit widget:
text: My name is Julien and I like to example_title: Julien
text: My name is Merve and my favorite example_title: Merve base_model: distilgpt2 tags:
generated_from_trainer
code model-index:
name: distilgpt2-finetuned-python_code_instructions_18k_alpaca results: [] datasets:
iamtarun/python_code_instructions_18k_alpaca language:
en metrics:
accuracy library_name: transformers pipeline_tag: text-generation
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
