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---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: QA_REFINED_DATA_14K_14-08
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. -->
# QA_REFINED_DATA_14K_14-08
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8890
## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.923 | 1.0 | 5451 | 0.6928 |
| 0.7731 | 2.0 | 10902 | 0.8015 |
| 0.6107 | 3.0 | 16353 | 0.7948 |
| 0.5961 | 4.0 | 21804 | 0.7665 |
| 0.6113 | 5.0 | 27255 | 0.8171 |
| 0.5014 | 6.0 | 32706 | 0.7901 |
| 0.4425 | 7.0 | 38157 | 0.7140 |
| 0.4546 | 8.0 | 43608 | 0.8264 |
| 0.3919 | 9.0 | 49059 | 0.8266 |
| 0.3568 | 10.0 | 54510 | 0.8890 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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