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thesis_v2
goldi1111/thesis_v2
thesis_v2 is a machine learning model from goldi1111. 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 mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Aug 8, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 8, 2024
- SHA
- 13a6fb9e
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. -->
thesis_v2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9817
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: 1e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3022 | 2.78 | 25 | 3.9866 |
| 4.2852 | 5.56 | 50 | 3.9846 |
| 4.2623 | 8.33 | 75 | 3.9829 |
| 4.2679 | 11.11 | 100 | 3.9818 |
| 4.2675 | 13.89 | 125 | 3.9817 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
- License
- mit
- Created
- Aug 7, 2024
- Updated
- Aug 8, 2024