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# climate_un2

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0929
- Accuracy: 0.9860
- F1 Macro: 0.9804
- Accuracy Balanced: 0.9856
- F1 Micro: 0.9860
- Precision Macro: 0.9755
- Recall Macro: 0.9856
- Precision Micro: 0.9860
- Recall Micro: 0.9860

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 80
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
| No log        | 1.0   | 167  | 0.0673          | 0.9851   | 0.9790   | 0.9796            | 0.9851   | 0.9783          | 0.9796       | 0.9851          | 0.9851       |
| No log        | 2.0   | 334  | 0.0732          | 0.9834   | 0.9768   | 0.9839            | 0.9834   | 0.9702          | 0.9839       | 0.9834          | 0.9834       |
| 0.1178        | 3.0   | 501  | 0.0617          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |
| 0.1178        | 4.0   | 668  | 0.0593          | 0.9886   | 0.9840   | 0.9873            | 0.9886   | 0.9809          | 0.9873       | 0.9886          | 0.9886       |
| 0.1178        | 5.0   | 835  | 0.0822          | 0.9843   | 0.9780   | 0.9844            | 0.9843   | 0.9720          | 0.9844       | 0.9843          | 0.9843       |
| 0.0088        | 6.0   | 1002 | 0.0810          | 0.9878   | 0.9829   | 0.9880            | 0.9878   | 0.9779          | 0.9880       | 0.9878          | 0.9878       |
| 0.0088        | 7.0   | 1169 | 0.0904          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |
| 0.0088        | 8.0   | 1336 | 0.0927          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |
| 0.0006        | 9.0   | 1503 | 0.0936          | 0.9860   | 0.9805   | 0.9869            | 0.9860   | 0.9744          | 0.9869       | 0.9860          | 0.9860       |
| 0.0006        | 10.0  | 1670 | 0.0929          | 0.9860   | 0.9804   | 0.9856            | 0.9860   | 0.9755          | 0.9856       | 0.9860          | 0.9860       |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "climate_un2", "results": []}]}
transformers safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us