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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: 20230430-001-baseline-mbert-qa-squadv2-ft-clickbait-spoiling
results: []
datasets:
- Tugay/clickbait-spoiling
- squad_v2
language:
- id
---
<!-- 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. -->
# T-BASELINE001
# 20230430-001-baseline-mbert-qa-squadv2-ft-clickbait-spoiling
This model is a fine-tuned version of [intanm/mbert-squadv2](https://huggingface.co/intanm/mbert-squadv2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8747
## 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 | 2.8065 |
| No log | 2.0 | 400 | 2.8088 |
| 2.5698 | 3.0 | 600 | 3.1652 |
| 2.5698 | 4.0 | 800 | 3.5464 |
| 1.1384 | 5.0 | 1000 | 3.8477 |
| 1.1384 | 6.0 | 1200 | 4.1725 |
| 1.1384 | 7.0 | 1400 | 4.5057 |
| 0.4763 | 8.0 | 1600 | 4.7721 |
| 0.4763 | 9.0 | 1800 | 4.8970 |
| 0.2594 | 10.0 | 2000 | 4.8747 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3 |