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distilgpt2-finetuned-databricks-GGUF – AI Model by QuantFactory | AlphaNeural AI
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distilgpt2-finetuned-databricks-GGUF
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distilbert/distilgpt2
quantized
endpoints_compatible
generated_from_trainer
gguf
template
apache-2.0
us
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QuantFactory/distilgpt2-finetuned-databricks-GGUF
This is quantized version of
Vishaltiwari2019/distilgpt2-finetuned-databricks
created using llama.cpp
Original Model Card
distilgpt2-finetuned-databricks
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.2376
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: 0.6
Training results
Training Loss
Epoch
Step
Validation Loss
3.4404
0.6
543
3.2376
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
