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README.md
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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: Climate-TwitterBERT-step1
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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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# Climate-TwitterBERT-step1
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This model is a fine-tuned version of [Climate-TwitterBERT/ctbert_corporate_mlm](https://huggingface.co/Climate-TwitterBERT/ctbert_corporate_mlm) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0693
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- Accuracy: 0.9767
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- Precision: 0.8882
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- Recall: 0.9346
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- F1-weighted: 0.9769
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- F1: 0.9108
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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: 2
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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: 4
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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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| 0.2835 | 0.76 | 50 | 0.0636 | 0.9767 | 0.9252 | 0.8889 | 0.9765 | 0.9067 |
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| 0.0821 | 1.52 | 100 | 0.0632 | 0.9775 | 0.8841 | 0.9477 | 0.9778 | 0.9148 |
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| 0.0763 | 2.27 | 150 | 0.0627 | 0.9767 | 0.8882 | 0.9346 | 0.9769 | 0.9108 |
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| 0.0561 | 3.03 | 200 | 0.0670 | 0.9742 | 0.8720 | 0.9346 | 0.9745 | 0.9022 |
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| 0.0429 | 3.79 | 250 | 0.0693 | 0.9767 | 0.8882 | 0.9346 | 0.9769 | 0.9108 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.1
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- Tokenizers 0.13.3
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