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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2_yash
model-index:
- name: distilbert-base-cased-distilled-squad-finetuned-squad
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. -->
# distilbert-base-cased-distilled-squad-finetuned-squad
This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the squad_v2_yash dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0088
## 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 | 198 | 0.5409 |
| No log | 2.0 | 396 | 0.3048 |
| 0.9541 | 3.0 | 594 | 0.1764 |
| 0.9541 | 4.0 | 792 | 0.1117 |
| 0.9541 | 5.0 | 990 | 0.0634 |
| 0.3052 | 6.0 | 1188 | 0.0345 |
| 0.3052 | 7.0 | 1386 | 0.0229 |
| 0.1129 | 8.0 | 1584 | 0.0152 |
| 0.1129 | 9.0 | 1782 | 0.0101 |
| 0.1129 | 10.0 | 1980 | 0.0088 |
### Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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