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.

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