---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: Climate-TwitterBERT-step1
  results: []
---

<!-- 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. -->

# Climate-TwitterBERT-step1

This model is a fine-tuned version of [Climate-TwitterBERT/ctbert_corporate_mlm](https://huggingface.co/Climate-TwitterBERT/ctbert_corporate_mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0693
- Accuracy: 0.9767
- Precision: 0.8882
- Recall: 0.9346
- F1-weighted: 0.9769
- F1: 0.9108

## 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: 1e-05
- train_batch_size: 128
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1-weighted | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----------:|:------:|
| 0.2835        | 0.76  | 50   | 0.0636          | 0.9767   | 0.9252    | 0.8889 | 0.9765      | 0.9067 |
| 0.0821        | 1.52  | 100  | 0.0632          | 0.9775   | 0.8841    | 0.9477 | 0.9778      | 0.9148 |
| 0.0763        | 2.27  | 150  | 0.0627          | 0.9767   | 0.8882    | 0.9346 | 0.9769      | 0.9108 |
| 0.0561        | 3.03  | 200  | 0.0670          | 0.9742   | 0.8720    | 0.9346 | 0.9745      | 0.9022 |
| 0.0429        | 3.79  | 250  | 0.0693          | 0.9767   | 0.8882    | 0.9346 | 0.9769      | 0.9108 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3