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---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased-distilled-squad
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: category-1-delivery-cancellation-distilbert-base-uncased-distilled-squad-v1
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. -->
# category-1-delivery-cancellation-distilbert-base-uncased-distilled-squad-v1
This model is a fine-tuned version of [distilbert/distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2431
- Accuracy: 0.9426
## 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: 70
- eval_batch_size: 70
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 286 | 0.3740 | 0.8601 |
| 0.2503 | 2.0 | 572 | 0.1944 | 0.9300 |
| 0.2503 | 3.0 | 858 | 0.1716 | 0.9375 |
| 0.1422 | 4.0 | 1144 | 0.1664 | 0.9413 |
| 0.1422 | 5.0 | 1430 | 0.2271 | 0.9291 |
| 0.0941 | 6.0 | 1716 | 0.2533 | 0.9239 |
| 0.0637 | 7.0 | 2002 | 0.2018 | 0.9427 |
| 0.0637 | 8.0 | 2288 | 0.2064 | 0.9482 |
| 0.0408 | 9.0 | 2574 | 0.2494 | 0.9408 |
| 0.0408 | 10.0 | 2860 | 0.2431 | 0.9426 |
### Framework versions
- Transformers 4.43.2
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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