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---
license: apache-2.0
base_model: distilbert/distilbert-base-cased-distilled-squad
tags:
- generated_from_trainer
datasets:
- srh_test66
model-index:
- name: distilbert-base-cased-distilled-squad-finetuned-squad-test3
results: []
---
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# distilbert-base-cased-distilled-squad-finetuned-squad-test3
This model is a fine-tuned version of [distilbert/distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-cased-distilled-squad) on the srh_test66 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6070
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1941 | 1.0 | 44 | 1.6611 |
| 2.318 | 2.0 | 88 | 1.6329 |
| 1.5787 | 3.0 | 132 | 1.6070 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2