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---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: my_awesome_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. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7197
## 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: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 9 | 5.6727 |
| No log | 2.0 | 18 | 4.7499 |
| No log | 3.0 | 27 | 4.0555 |
| No log | 4.0 | 36 | 3.6859 |
| No log | 5.0 | 45 | 3.7884 |
| No log | 6.0 | 54 | 3.8482 |
| No log | 7.0 | 63 | 3.9977 |
| No log | 8.0 | 72 | 4.3411 |
| No log | 9.0 | 81 | 4.6886 |
| No log | 10.0 | 90 | 4.6630 |
| No log | 11.0 | 99 | 4.7296 |
| No log | 12.0 | 108 | 4.6999 |
| No log | 13.0 | 117 | 4.8416 |
| No log | 14.0 | 126 | 4.9140 |
| No log | 15.0 | 135 | 4.7755 |
| No log | 16.0 | 144 | 4.9881 |
| No log | 17.0 | 153 | 5.0003 |
| No log | 18.0 | 162 | 5.0493 |
| No log | 19.0 | 171 | 5.2228 |
| No log | 20.0 | 180 | 5.2716 |
| No log | 21.0 | 189 | 5.1830 |
| No log | 22.0 | 198 | 5.1855 |
| No log | 23.0 | 207 | 5.1763 |
| No log | 24.0 | 216 | 5.4629 |
| No log | 25.0 | 225 | 5.4778 |
| No log | 26.0 | 234 | 5.4658 |
| No log | 27.0 | 243 | 5.4926 |
| No log | 28.0 | 252 | 5.5078 |
| No log | 29.0 | 261 | 5.7624 |
| No log | 30.0 | 270 | 5.5743 |
| No log | 31.0 | 279 | 5.6203 |
| No log | 32.0 | 288 | 5.5513 |
| No log | 33.0 | 297 | 5.5641 |
| No log | 34.0 | 306 | 5.6943 |
| No log | 35.0 | 315 | 5.6849 |
| No log | 36.0 | 324 | 5.6235 |
| No log | 37.0 | 333 | 5.6985 |
| No log | 38.0 | 342 | 5.6973 |
| No log | 39.0 | 351 | 5.6863 |
| No log | 40.0 | 360 | 5.6592 |
| No log | 41.0 | 369 | 5.7277 |
| No log | 42.0 | 378 | 5.7641 |
| No log | 43.0 | 387 | 5.7648 |
| No log | 44.0 | 396 | 5.7564 |
| No log | 45.0 | 405 | 5.7573 |
| No log | 46.0 | 414 | 5.7402 |
| No log | 47.0 | 423 | 5.7205 |
| No log | 48.0 | 432 | 5.7104 |
| No log | 49.0 | 441 | 5.7145 |
| No log | 50.0 | 450 | 5.7197 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|