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---
library_name: peft
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
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. -->
# results
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: 0.9268
- Accuracy: {'accuracy': 0.897}
## 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: 0.001
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-------------------:|
| No log | 1.0 | 200 | 0.3711 | {'accuracy': 0.888} |
| No log | 2.0 | 400 | 0.3744 | {'accuracy': 0.891} |
| 0.3758 | 3.0 | 600 | 0.5101 | {'accuracy': 0.885} |
| 0.3758 | 4.0 | 800 | 0.5947 | {'accuracy': 0.885} |
| 0.1658 | 5.0 | 1000 | 0.6976 | {'accuracy': 0.88} |
| 0.1658 | 6.0 | 1200 | 0.7152 | {'accuracy': 0.891} |
| 0.1658 | 7.0 | 1400 | 0.8370 | {'accuracy': 0.893} |
| 0.0294 | 8.0 | 1600 | 0.9208 | {'accuracy': 0.889} |
| 0.0294 | 9.0 | 1800 | 0.9238 | {'accuracy': 0.893} |
| 0.0087 | 10.0 | 2000 | 0.9268 | {'accuracy': 0.897} |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0 |