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# Moral_model_3

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6473
- F1: 0.7024

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 140  | 1.3495          | 0.6845 |
| No log        | 2.0   | 280  | 0.6529          | 0.6866 |
| No log        | 3.0   | 420  | 0.8054          | 0.7021 |
| 0.2081        | 4.0   | 560  | 1.1653          | 0.6915 |
| 0.2081        | 5.0   | 700  | 1.2898          | 0.6716 |
| 0.2081        | 6.0   | 840  | 1.4288          | 0.6745 |
| 0.2081        | 7.0   | 980  | 1.3901          | 0.6950 |
| 0.1147        | 8.0   | 1120 | 1.4176          | 0.6936 |
| 0.1147        | 9.0   | 1260 | 1.4886          | 0.6915 |
| 0.1147        | 10.0  | 1400 | 1.5587          | 0.6983 |
| 0.0581        | 11.0  | 1540 | 1.6754          | 0.6971 |
| 0.0581        | 12.0  | 1680 | 1.6200          | 0.7076 |
| 0.0581        | 13.0  | 1820 | 1.6451          | 0.7056 |
| 0.0581        | 14.0  | 1960 | 1.6853          | 0.6998 |
| 0.0328        | 15.0  | 2100 | 1.6473          | 0.7024 |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.11.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "roberta-base", "model-index": [{"name": "Moral_model_3", "results": []}]}
transformers safetensors roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us