---
license: mit
tags:
- generated_from_trainer
model-index:
- name: 20230430-002-baseline-mdeberta-qa-ft-clickbait-spoiling
  results: []
datasets:
- Tugay/clickbait-spoiling
---

<!-- 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. -->

# 20230430-002-baseline-mdeberta-qa-ft-clickbait-spoiling

This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6307

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 200  | 2.3170          |
| No log        | 2.0   | 400  | 2.2467          |
| 2.2007        | 3.0   | 600  | 2.4259          |
| 2.2007        | 4.0   | 800  | 2.6208          |
| 1.1169        | 5.0   | 1000 | 2.9482          |
| 1.1169        | 6.0   | 1200 | 3.1302          |
| 1.1169        | 7.0   | 1400 | 3.4215          |
| 0.5849        | 8.0   | 1600 | 3.4504          |
| 0.5849        | 9.0   | 1800 | 3.5371          |
| 0.3761        | 10.0  | 2000 | 3.6307          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3