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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 |
