---
license: apache-2.0
base_model: casual/nlp_til2
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: nlp_til3
  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. -->

# nlp_til3

This model is a fine-tuned version of [casual/nlp_til2](https://huggingface.co/casual/nlp_til2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0052
- Precision: 0.9899
- Recall: 0.9919
- F1: 0.9909
- Accuracy: 0.9983

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 219  | 0.0192          | 0.9571    | 0.9614 | 0.9592 | 0.9931   |
| No log        | 2.0   | 438  | 0.0176          | 0.9607    | 0.9696 | 0.9652 | 0.9940   |
| 0.0238        | 3.0   | 657  | 0.0142          | 0.9702    | 0.9692 | 0.9697 | 0.9948   |
| 0.0238        | 4.0   | 876  | 0.0105          | 0.9764    | 0.9744 | 0.9754 | 0.9958   |
| 0.0201        | 5.0   | 1095 | 0.0093          | 0.9839    | 0.9804 | 0.9822 | 0.9969   |
| 0.0201        | 6.0   | 1314 | 0.0080          | 0.9832    | 0.9878 | 0.9855 | 0.9974   |
| 0.0147        | 7.0   | 1533 | 0.0078          | 0.9850    | 0.9858 | 0.9854 | 0.9975   |
| 0.0147        | 8.0   | 1752 | 0.0071          | 0.9835    | 0.9892 | 0.9863 | 0.9976   |
| 0.0147        | 9.0   | 1971 | 0.0053          | 0.9899    | 0.9911 | 0.9905 | 0.9983   |
| 0.0106        | 10.0  | 2190 | 0.0052          | 0.9899    | 0.9919 | 0.9909 | 0.9983   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1