---
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