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---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_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_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3764
- Accuracy: 0.8616
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 192 | 0.3510 | 0.8629 |
| No log | 2.0 | 384 | 0.3658 | 0.8629 |
| 0.2898 | 3.0 | 576 | 0.3585 | 0.8564 |
| 0.2898 | 4.0 | 768 | 0.3760 | 0.8629 |
| 0.2898 | 5.0 | 960 | 0.3911 | 0.8629 |
| 0.285 | 6.0 | 1152 | 0.3838 | 0.8629 |
| 0.285 | 7.0 | 1344 | 0.3728 | 0.8629 |
| 0.2806 | 8.0 | 1536 | 0.3725 | 0.8616 |
| 0.2806 | 9.0 | 1728 | 0.3731 | 0.8629 |
| 0.2806 | 10.0 | 1920 | 0.3764 | 0.8616 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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