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---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-distilled-assign4
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-distilled-assign4
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2808
- Accuracy: 0.9497
## 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: 0.00015873648520979436
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4892 | 1.0 | 318 | 0.4144 | 0.9210 |
| 0.2433 | 2.0 | 636 | 0.3386 | 0.9361 |
| 0.1445 | 3.0 | 954 | 0.3118 | 0.9465 |
| 0.1135 | 4.0 | 1272 | 0.3060 | 0.9442 |
| 0.0983 | 5.0 | 1590 | 0.2805 | 0.9510 |
| 0.0922 | 6.0 | 1908 | 0.2840 | 0.9484 |
| 0.0885 | 7.0 | 2226 | 0.2806 | 0.9506 |
| 0.0869 | 8.0 | 2544 | 0.2808 | 0.9497 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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