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--- |
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base_model: 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: bert_tnew_cls |
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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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# bert_tnew_cls |
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This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/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: 3.2489 |
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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: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.3125 | 10 | 2.8092 | |
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| No log | 0.625 | 20 | 2.8664 | |
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| No log | 0.9375 | 30 | 2.8930 | |
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| No log | 1.25 | 40 | 3.0741 | |
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| No log | 1.5625 | 50 | 3.1788 | |
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| No log | 1.875 | 60 | 3.2591 | |
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| No log | 2.1875 | 70 | 3.2654 | |
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| No log | 2.5 | 80 | 3.2536 | |
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| No log | 2.8125 | 90 | 3.2486 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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