---
license: apache-2.0
base_model: salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3
  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. -->

# OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3

This model is a fine-tuned version of [salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE](https://huggingface.co./salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1685
- Precision: 0.7509
- Recall: 0.7962
- F1: 0.7729
- Accuracy: 0.9548

## 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: 32
- eval_batch_size: 8
- seed: 23
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1495        | 1.0   | 121  | 0.1123          | 0.7811    | 0.7573 | 0.7690 | 0.9567   |
| 0.0847        | 2.0   | 242  | 0.1201          | 0.7505    | 0.7972 | 0.7731 | 0.9540   |
| 0.0581        | 3.0   | 363  | 0.1314          | 0.7610    | 0.7853 | 0.7729 | 0.9560   |
| 0.0363        | 4.0   | 484  | 0.1529          | 0.7649    | 0.7798 | 0.7723 | 0.9551   |
| 0.0242        | 5.0   | 605  | 0.1685          | 0.7509    | 0.7962 | 0.7729 | 0.9548   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2