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long-first_seed-42_1e-3
qing-yao/long-first_seed-42_1e-3
long-first_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 10, 2025
- Updated
- Feb 20, 2025
- SHA
- c788623e
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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. -->
long_first_noditransitive_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4021
- Accuracy: 0.3908
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 |
|---|---|---|---|---|
| 6.1891 | 0.9998 | 1495 | 4.6436 | 0.2736 |
| 4.6034 | 1.9997 | 2990 | 4.1494 | 0.3161 |
| 3.9716 | 2.9995 | 4485 | 3.8860 | 0.3389 |
| 3.7944 | 4.0 | 5981 | 3.7209 | 0.3545 |
| 3.5542 | 4.9998 | 7476 | 3.6183 | 0.3654 |
| 3.4776 | 5.9997 | 8971 | 3.5526 | 0.3718 |
| 3.3553 | 6.9995 | 10466 | 3.5108 | 0.3767 |
| 3.3191 | 8.0 | 11962 | 3.4802 | 0.3802 |
| 3.2459 | 8.9998 | 13457 | 3.4601 | 0.3823 |
| 3.2256 | 9.9997 | 14952 | 3.4486 | 0.3841 |
| 3.1776 | 10.9995 | 16447 | 3.4337 | 0.3858 |
| 3.1638 | 12.0 | 17943 | 3.4274 | 0.3868 |
| 3.1319 | 12.9998 | 19438 | 3.4218 | 0.3876 |
| 3.1231 | 13.9997 | 20933 | 3.4145 | 0.3886 |
| 3.0985 | 14.9995 | 22428 | 3.4103 | 0.3891 |
| 3.0942 | 16.0 | 23924 | 3.4085 | 0.3897 |
| 3.0768 | 16.9998 | 25419 | 3.4036 | 0.3901 |
| 3.0733 | 17.9997 | 26914 | 3.4018 | 0.3906 |
| 3.0629 | 18.9995 | 28409 | 3.4010 | 0.3906 |
| 3.0566 | 19.9967 | 29900 | 3.4021 | 0.3908 |
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 10, 2025
- Updated
- Feb 20, 2025