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--- |
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license: mit |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: ctbert_climate_step2_three_category |
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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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# ctbert_climate_step2_three_category |
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This model is a fine-tuned version of [Teapotboy/ctbert_climate_step1](https://huggingface.co/Teapotboy/ctbert_climate_step1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6038 |
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- Accuracy: 0.805 |
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- Precision: 0.8034 |
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- Recall: 0.805 |
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- F1-weighted: 0.8008 |
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- F1: 0.7798 |
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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: 1e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 1 |
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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_ratio: 0.05 |
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- num_epochs: 16 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1-weighted | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----------:|:------:| |
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| 1.0552 | 1.0 | 13 | 1.0037 | 0.5925 | 0.4696 | 0.5925 | 0.5014 | 0.4092 | |
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| 0.9542 | 2.0 | 26 | 0.7901 | 0.6475 | 0.7247 | 0.6475 | 0.5755 | 0.5004 | |
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| 0.8064 | 3.0 | 39 | 0.6620 | 0.7125 | 0.7298 | 0.7125 | 0.6807 | 0.6323 | |
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| 0.5555 | 4.0 | 52 | 0.6044 | 0.7425 | 0.7416 | 0.7425 | 0.7298 | 0.6985 | |
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| 0.4958 | 5.0 | 65 | 0.6352 | 0.7425 | 0.7548 | 0.7425 | 0.7238 | 0.6840 | |
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| 0.4388 | 6.0 | 78 | 0.6029 | 0.7675 | 0.7701 | 0.7675 | 0.7563 | 0.7249 | |
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| 0.3266 | 7.0 | 91 | 0.6036 | 0.775 | 0.7782 | 0.775 | 0.7623 | 0.7326 | |
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| 0.2613 | 8.0 | 104 | 0.6038 | 0.805 | 0.8034 | 0.805 | 0.8008 | 0.7798 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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