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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: TCFD-BERT
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results: []
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---
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Using the ClimateBERT-f model as starting point,the TCFD-BERT language model is additionally pre-trained to include precise paragraphs related to climate change.
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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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# TCFD-BERT
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It achieves the following results on the evaluation set:
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- Loss: 1.1325
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: tpu
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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: 500
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.865 | 0.37 | 500 | 1.4460 |
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| 1.6601 | 0.73 | 1000 | 1.3491 |
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| 1.593 | 1.1 | 1500 | 1.3190 |
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| 1.5336 | 1.46 | 2000 | 1.2801 |
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| 1.5081 | 1.83 | 2500 | 1.2446 |
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| 1.4547 | 2.19 | 3000 | 1.2281 |
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| 1.4358 | 2.56 | 3500 | 1.2065 |
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| 1.4121 | 2.92 | 4000 | 1.1874 |
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| 1.396 | 3.29 | 4500 | 1.1817 |
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| 1.383 | 3.65 | 5000 | 1.1747 |
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| 1.3662 | 4.02 | 5500 | 1.1717 |
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| 1.3545 | 4.38 | 6000 | 1.1567 |
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| 1.3441 | 4.75 | 6500 | 1.1325 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.9.0+cu102
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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