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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: distilbert_base_uncased_distilled_squad_qa_model
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_uncased_distilled_squad_qa_model
This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0559
## 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: 1e-07
- 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.158 | 1.0 | 32 | 4.1319 |
| 4.0591 | 2.0 | 64 | 4.0890 |
| 4.0317 | 3.0 | 96 | 4.0638 |
| 3.9992 | 4.0 | 128 | 4.0559 |
### Framework versions
- Transformers 4.28.0
- Pytorch 1.13.0a0+d321be6
- Datasets 2.12.0
- Tokenizers 0.13.3
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