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base_model: hf-internal-testing/tiny-albert
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 [hf-internal-testing/tiny-albert](https://huggingface.co/hf-internal-testing/tiny-albert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1315
- Accuracy: 0.96
## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25.0
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6937 | 0.1 | 25 | 0.6927 | 0.5115 |
| 0.6911 | 0.2 | 50 | 0.6770 | 0.613 |
| 0.4988 | 0.3 | 75 | 0.3574 | 0.886 |
| 0.2604 | 0.4 | 100 | 0.1720 | 0.9525 |
| 0.1758 | 0.5 | 125 | 0.1787 | 0.9435 |
| 0.1964 | 0.6 | 150 | 0.1327 | 0.9615 |
| 0.1637 | 0.7 | 175 | 0.1269 | 0.9635 |
| 0.1453 | 0.8 | 200 | 0.1538 | 0.9565 |
| 0.1563 | 0.9 | 225 | 0.1508 | 0.9575 |
| 0.1657 | 1.0 | 250 | 0.1315 | 0.96 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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