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--- |
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license: gpl-3.0 |
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base_model: ckiplab/bert-base-chinese |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: clip-roberta-finetuned |
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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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# clip-roberta-finetuned |
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This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2379 |
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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: 80 |
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- eval_batch_size: 100 |
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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: linear |
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- num_epochs: 100.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.6587 | 10.0 | 300 | 2.6721 | |
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| 0.5242 | 20.0 | 600 | 1.9951 | |
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| 0.1995 | 30.0 | 900 | 1.7767 | |
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| 0.1025 | 40.0 | 1200 | 1.6003 | |
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| 0.0609 | 50.0 | 1500 | 1.5020 | |
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| 0.042 | 60.0 | 1800 | 1.3372 | |
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| 0.0315 | 70.0 | 2100 | 1.3104 | |
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| 0.0271 | 80.0 | 2400 | 1.2715 | |
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| 0.0212 | 90.0 | 2700 | 1.2446 | |
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| 0.0202 | 100.0 | 3000 | 1.2379 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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