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--- |
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license: apache-2.0 |
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base_model: bert-base-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: assignment2_attempt12 |
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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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# assignment2_attempt12 |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4465 |
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- Precision: 0.2230 |
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- Recall: 0.2268 |
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- F1: 0.2249 |
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- Accuracy: 0.9262 |
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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: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 347 | 0.2699 | 0.1554 | 0.1581 | 0.1567 | 0.9238 | |
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| 0.3071 | 2.0 | 694 | 0.3111 | 0.1843 | 0.1375 | 0.1575 | 0.9302 | |
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| 0.1235 | 3.0 | 1041 | 0.3048 | 0.2164 | 0.2543 | 0.2338 | 0.9280 | |
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| 0.1235 | 4.0 | 1388 | 0.3606 | 0.1920 | 0.2302 | 0.2094 | 0.9208 | |
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| 0.0592 | 5.0 | 1735 | 0.4584 | 0.2112 | 0.1684 | 0.1874 | 0.9280 | |
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| 0.0304 | 6.0 | 2082 | 0.4465 | 0.2230 | 0.2268 | 0.2249 | 0.9262 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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