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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- classification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: chat-prompt |
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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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# chat-prompt |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4302 |
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- Accuracy: 0.2118 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 22 | 5.1325 | 0.0059 | |
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| No log | 2.0 | 44 | 5.1051 | 0.0118 | |
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| No log | 3.0 | 66 | 5.0410 | 0.0118 | |
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| No log | 4.0 | 88 | 4.9587 | 0.0059 | |
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| No log | 5.0 | 110 | 4.8704 | 0.0294 | |
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| No log | 6.0 | 132 | 4.8604 | 0.0294 | |
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| No log | 7.0 | 154 | 4.6148 | 0.1 | |
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| No log | 8.0 | 176 | 4.5487 | 0.1176 | |
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| No log | 9.0 | 198 | 4.4783 | 0.1529 | |
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| No log | 10.0 | 220 | 4.4302 | 0.2118 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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