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testfinetunedmodel
imda-lseokmin/testfinetunedmodel
testfinetunedmodel is a text generation model from imda-lseokmin. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Apr 17, 2024
- SHA
- 865f3fbf
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
artgpt
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4268
- Accuracy: 0.3678
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40.0
Training results
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.18 |
| AI2 Reasoning Challenge (25-Shot) | 25.85 |
| HellaSwag (10-Shot) | 31.40 |
| MMLU (5-Shot) | 26.07 |
| TruthfulQA (0-shot) | 40.75 |
| Winogrande (5-shot) | 50.99 |
| GSM8k (5-shot) | 0.00 |
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Dec 26, 2023
- Updated
- Apr 17, 2024