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# scibert-nslp-forc-subtask1-5e

This model is a fine-tuned version of [kietnt0603/scibert-nslp-forc-subtask1](https://huggingface.co/kietnt0603/scibert-nslp-forc-subtask1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1779
- Accuracy: 0.7315
- Precision: 0.7357
- Recall: 0.7315
- F1-weighted: 0.7302

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1-weighted |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----------:|
| 0.0698        | 0.58  | 1500 | 0.1884          | 0.6963   | 0.7006    | 0.6963 | 0.6908      |
| 0.0334        | 1.16  | 3000 | 0.1841          | 0.7201   | 0.7259    | 0.7201 | 0.7170      |
| 0.0245        | 1.73  | 4500 | 0.1779          | 0.7315   | 0.7357    | 0.7315 | 0.7302      |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "kietnt0603/scibert-nslp-forc-subtask1", "model-index": [{"name": "scibert-nslp-forc-subtask1-5e", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:kietnt0603/scibert-nslp-forc-subtask1 autotrain_compatible endpoints_compatible region:us