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---
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: distilbert-finetuned-uncased-squad_v2
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-finetuned-uncased-squad_v2
This model was trained from scratch on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3930
## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6437 | 0.39 | 100 | 2.1780 |
| 2.1596 | 0.78 | 200 | 1.6557 |
| 1.8138 | 1.18 | 300 | 1.5683 |
| 1.6987 | 1.57 | 400 | 1.5076 |
| 1.6586 | 1.96 | 500 | 1.5350 |
| 1.5957 | 1.18 | 600 | 1.4431 |
| 1.5825 | 1.37 | 700 | 1.4955 |
| 1.5523 | 1.57 | 800 | 1.4444 |
| 1.5346 | 1.76 | 900 | 1.3930 |
| 1.5098 | 1.96 | 1000 | 1.4285 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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