readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: TCFD-BERT
    results: []
  ---
  
  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.
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # TCFD-BERT
  
  
  It achieves the following results on the evaluation set:
  - Loss: 1.1325
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: tpu
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.865         | 0.37  | 500  | 1.4460          |
  | 1.6601        | 0.73  | 1000 | 1.3491          |
  | 1.593         | 1.1   | 1500 | 1.3190          |
  | 1.5336        | 1.46  | 2000 | 1.2801          |
  | 1.5081        | 1.83  | 2500 | 1.2446          |
  | 1.4547        | 2.19  | 3000 | 1.2281          |
  | 1.4358        | 2.56  | 3500 | 1.2065          |
  | 1.4121        | 2.92  | 4000 | 1.1874          |
  | 1.396         | 3.29  | 4500 | 1.1817          |
  | 1.383         | 3.65  | 5000 | 1.1747          |
  | 1.3662        | 4.02  | 5500 | 1.1717          |
  | 1.3545        | 4.38  | 6000 | 1.1567          |
  | 1.3441        | 4.75  | 6500 | 1.1325          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.9.0+cu102
  - Datasets 2.1.0
  - Tokenizers 0.12.1