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--- |
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license: apache-2.0 |
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base_model: bert-large-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: chatbot |
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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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# chatbot |
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6024 |
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- Accuracy: 0.8958 |
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- F1: 0.8910 |
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- Precision: 0.8846 |
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- Recall: 0.9295 |
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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: 16 |
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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: 100 |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 2.9886 | 10.0 | 50 | 2.5714 | 0.2708 | 0.1833 | 0.1547 | 0.2949 | |
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| 1.3584 | 20.0 | 100 | 1.1008 | 0.8542 | 0.8496 | 0.8622 | 0.9071 | |
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| 0.1639 | 30.0 | 150 | 0.6093 | 0.8958 | 0.8897 | 0.8910 | 0.9295 | |
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| 0.0136 | 40.0 | 200 | 0.6092 | 0.9167 | 0.9112 | 0.9071 | 0.9423 | |
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| 0.007 | 50.0 | 250 | 0.6024 | 0.8958 | 0.8910 | 0.8846 | 0.9295 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Tokenizers 0.15.2 |
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