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Sohaib/tinyBert-router-v0.2
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---
library_name: transformers
base_model: huawei-noah/TinyBERT_General_4L_312D
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tinyBert-router-v0.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tinyBert-router-v0.1
This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2489
- Accuracy: 1.0
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 29 | 0.6853 | 0.52 |
| No log | 2.0 | 58 | 0.5893 | 0.96 |
| No log | 3.0 | 87 | 0.4202 | 1.0 |
| No log | 4.0 | 116 | 0.3176 | 1.0 |
| No log | 5.0 | 145 | 0.2649 | 1.0 |
| No log | 6.0 | 174 | 0.2489 | 1.0 |
### Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0