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distilgpt2-finetuned-databricks-GGUF
QuantFactory/distilgpt2-finetuned-databricks-GGUF
distilgpt2-finetuned-databricks-GGUF is a machine learning model from QuantFactory. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Sep 21, 2024
- Updated
- Sep 21, 2024
- SHA
- 74d93615
Base models
Model card
From the Hugging Face model README
QuantFactory/distilgpt2-finetuned-databricks-GGUF
This is quantized version of Vishaltiwari2019/distilgpt2-finetuned-databricks created using llama.cpp
Original Model Card
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->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
- License
- apache-2.0
- Created
- Sep 21, 2024
- Updated
- Sep 21, 2024