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--- |
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license: apache-2.0 |
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base_model: hfl/chinese-xlnet-mid |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xlnet-mid |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# xlnet-mid |
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This model is a fine-tuned version of [hfl/chinese-xlnet-mid](https://huggingface.co/hfl/chinese-xlnet-mid) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.7725 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.623 | 0.08 | 500 | 5.6406 | |
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| 5.456 | 0.16 | 1000 | 5.5080 | |
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| 5.2287 | 0.23 | 1500 | 5.3861 | |
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| 4.9929 | 0.31 | 2000 | 5.3493 | |
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| 5.3415 | 0.39 | 2500 | 5.1613 | |
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| 5.2163 | 0.47 | 3000 | 5.0551 | |
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| 5.1069 | 0.55 | 3500 | 4.9676 | |
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| 5.0365 | 0.62 | 4000 | 4.9118 | |
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| 4.9674 | 0.7 | 4500 | 4.8411 | |
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| 4.9259 | 0.78 | 5000 | 4.7963 | |
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| 4.8875 | 0.86 | 5500 | 4.7777 | |
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| 4.9003 | 0.94 | 6000 | 4.7725 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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