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gpt2_for_whole_train_result_2_4bce
CatBarks/gpt2_for_whole_train_result_2_4bce
gpt2_for_whole_train_result_2_4bce is a machine learning model from CatBarks. 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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At a glance
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025
- SHA
- b8933699
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. -->
gpt2_for_whole_train_result_2_4bce
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0468
- Accuracy: 0.9945
- F1: 0.9948
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.5829 | 6.8817 | 50 | 1.0807 | 0.64 | 0.7168 |
| 0.3023 | 13.7634 | 100 | 0.0960 | 0.9645 | 0.9675 |
| 0.0539 | 20.6452 | 150 | 0.0522 | 0.982 | 0.9833 |
| 0.0256 | 27.5269 | 200 | 0.0424 | 0.988 | 0.9888 |
| 0.0123 | 34.4086 | 250 | 0.0383 | 0.991 | 0.9916 |
| 0.0048 | 41.2903 | 300 | 0.0307 | 0.994 | 0.9944 |
| 0.0021 | 48.1720 | 350 | 0.0376 | 0.993 | 0.9935 |
| 0.0022 | 55.0538 | 400 | 0.0368 | 0.994 | 0.9944 |
| 0.0012 | 61.9355 | 450 | 0.0424 | 0.993 | 0.9935 |
| 0.0028 | 68.8172 | 500 | 0.0351 | 0.996 | 0.9962 |
| 0.0004 | 75.6989 | 550 | 0.0343 | 0.9965 | 0.9967 |
| 0.0003 | 82.5806 | 600 | 0.0370 | 0.996 | 0.9962 |
| 0.0002 | 89.4624 | 650 | 0.0382 | 0.9955 | 0.9958 |
| 0.0016 | 96.3441 | 700 | 0.0468 | 0.9945 | 0.9948 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Type
- gpt2
- License
- mit
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025