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---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Distilbert-finetuned-w-teacher
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-finetuned-w-teacher
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: 0.0372
- Accuracy: 0.9319
## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 318 | 0.4101 | 0.67 |
| 0.6452 | 2.0 | 636 | 0.1427 | 0.8442 |
| 0.6452 | 3.0 | 954 | 0.0757 | 0.8965 |
| 0.1678 | 4.0 | 1272 | 0.0545 | 0.9129 |
| 0.0852 | 5.0 | 1590 | 0.0446 | 0.9242 |
| 0.0852 | 6.0 | 1908 | 0.0401 | 0.9274 |
| 0.0652 | 7.0 | 2226 | 0.0384 | 0.9313 |
| 0.0581 | 8.0 | 2544 | 0.0372 | 0.9319 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
|