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no-datives_seed-42_1e-3
qing-yao/no-datives_seed-42_1e-3
no-datives_seed-42_1e-3 is a text generation model from qing-yao. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- opt
- Access
- Public
- Created
- Feb 13, 2025
- Updated
- Feb 21, 2025
- SHA
- 89aa5849
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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. -->
nodative_cf_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1523
- Accuracy: 0.4041
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.0249 | 0.9998 | 1490 | 4.3937 | 0.2955 |
| 4.3282 | 1.9997 | 2980 | 3.8788 | 0.3354 |
| 3.6854 | 2.9995 | 4470 | 3.5978 | 0.3592 |
| 3.5059 | 4.0 | 5961 | 3.4388 | 0.3741 |
| 3.2809 | 4.9998 | 7451 | 3.3407 | 0.3833 |
| 3.2045 | 5.9997 | 8941 | 3.2826 | 0.3889 |
| 3.0978 | 6.9995 | 10431 | 3.2422 | 0.3927 |
| 3.0597 | 8.0 | 11922 | 3.2173 | 0.3956 |
| 2.9976 | 8.9998 | 13412 | 3.2001 | 0.3977 |
| 2.9746 | 9.9997 | 14902 | 3.1847 | 0.3986 |
| 2.9359 | 10.9995 | 16392 | 3.1759 | 0.4004 |
| 2.9174 | 12.0 | 17883 | 3.1750 | 0.4005 |
| 2.8938 | 12.9998 | 19373 | 3.1686 | 0.4015 |
| 2.8805 | 13.9997 | 20863 | 3.1650 | 0.4021 |
| 2.8649 | 14.9995 | 22353 | 3.1609 | 0.4027 |
| 2.8544 | 16.0 | 23844 | 3.1605 | 0.4027 |
| 2.8457 | 16.9998 | 25334 | 3.1597 | 0.4032 |
| 2.8338 | 17.9997 | 26824 | 3.1591 | 0.4032 |
| 2.8332 | 18.9995 | 28314 | 3.1558 | 0.4036 |
| 2.8205 | 19.9966 | 29800 | 3.1523 | 0.4041 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
- Task
- Text Generation
- Library
- transformers
- Type
- opt
- Created
- Feb 13, 2025
- Updated
- Feb 21, 2025