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ET24_jieba_gpt2
jiang-psy-infj/ET24_jieba_gpt2
ET24_jieba_gpt2 is a machine learning model from jiang-psy-infj. 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
- Oct 13, 2024
- Updated
- Oct 13, 2024
- SHA
- 50f772c2
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. -->
ET24_jieba_gpt2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3514
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: 0.0005
- train_batch_size: 70
- eval_batch_size: 55
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 560
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9425 | 0.31 | 2000 | 2.9762 |
| 2.7081 | 0.61 | 4000 | 2.7109 |
| 2.5406 | 0.92 | 6000 | 2.5686 |
| 2.4177 | 1.22 | 8000 | 2.4625 |
| 2.339 | 1.53 | 10000 | 2.3866 |
| 2.2898 | 1.83 | 12000 | 2.3514 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.13.3
- Type
- gpt2
- License
- mit
- Created
- Oct 13, 2024
- Updated
- Oct 13, 2024