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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-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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- recall |
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- precision |
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model-index: |
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- name: Label-classifier |
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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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# Label-classifier |
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9972 |
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- Accuracy: 0.7284 |
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- Recall: 0.3681 |
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- Precision: 0.5257 |
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- F1 macro: 0.4064 |
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- F1 micro: 0.7284 |
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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: 2e-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: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 macro | F1 micro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:--------:|:--------:| |
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| No log | 1.0 | 81 | 0.8954 | 0.6852 | 0.2167 | 0.2380 | 0.1919 | 0.6852 | |
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| No log | 2.0 | 162 | 0.9831 | 0.6667 | 0.2552 | 0.4106 | 0.2485 | 0.6667 | |
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| No log | 3.0 | 243 | 0.9381 | 0.6728 | 0.3496 | 0.4541 | 0.3670 | 0.6728 | |
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| No log | 4.0 | 324 | 1.0068 | 0.7284 | 0.3501 | 0.5468 | 0.3915 | 0.7284 | |
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| No log | 5.0 | 405 | 0.9972 | 0.7284 | 0.3681 | 0.5257 | 0.4064 | 0.7284 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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