---
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tinybert_29_med_intents
  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. -->

# tinybert_29_med_intents

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3344
- Accuracy: 0.9199

## 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: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 430   | 2.8232          | 0.4144   |
| 3.1061        | 2.0   | 860   | 2.4220          | 0.4890   |
| 2.6532        | 3.0   | 1290  | 2.0921          | 0.5967   |
| 2.28          | 4.0   | 1720  | 1.8178          | 0.6878   |
| 1.9726        | 5.0   | 2150  | 1.5987          | 0.7431   |
| 1.7268        | 6.0   | 2580  | 1.4221          | 0.7569   |
| 1.5454        | 7.0   | 3010  | 1.2797          | 0.7762   |
| 1.5454        | 8.0   | 3440  | 1.1608          | 0.7818   |
| 1.3826        | 9.0   | 3870  | 1.0589          | 0.8039   |
| 1.2445        | 10.0  | 4300  | 0.9737          | 0.8177   |
| 1.1266        | 11.0  | 4730  | 0.8920          | 0.8343   |
| 1.0328        | 12.0  | 5160  | 0.8279          | 0.8398   |
| 0.9528        | 13.0  | 5590  | 0.7646          | 0.8453   |
| 0.8538        | 14.0  | 6020  | 0.7186          | 0.8564   |
| 0.8538        | 15.0  | 6450  | 0.6733          | 0.8619   |
| 0.7987        | 16.0  | 6880  | 0.6347          | 0.8812   |
| 0.7367        | 17.0  | 7310  | 0.5945          | 0.8840   |
| 0.6931        | 18.0  | 7740  | 0.5674          | 0.8950   |
| 0.6339        | 19.0  | 8170  | 0.5429          | 0.9061   |
| 0.606         | 20.0  | 8600  | 0.5132          | 0.9033   |
| 0.5647        | 21.0  | 9030  | 0.4991          | 0.9061   |
| 0.5647        | 22.0  | 9460  | 0.4709          | 0.9033   |
| 0.5375        | 23.0  | 9890  | 0.4642          | 0.9116   |
| 0.4961        | 24.0  | 10320 | 0.4421          | 0.9116   |
| 0.4695        | 25.0  | 10750 | 0.4390          | 0.9088   |
| 0.4499        | 26.0  | 11180 | 0.4126          | 0.9088   |
| 0.4315        | 27.0  | 11610 | 0.4149          | 0.9088   |
| 0.4005        | 28.0  | 12040 | 0.4036          | 0.9116   |
| 0.4005        | 29.0  | 12470 | 0.3938          | 0.9033   |
| 0.3929        | 30.0  | 12900 | 0.3846          | 0.9061   |
| 0.3707        | 31.0  | 13330 | 0.3856          | 0.9116   |
| 0.369         | 32.0  | 13760 | 0.3727          | 0.9088   |
| 0.3517        | 33.0  | 14190 | 0.3739          | 0.9088   |
| 0.3355        | 34.0  | 14620 | 0.3604          | 0.9088   |
| 0.3226        | 35.0  | 15050 | 0.3518          | 0.9144   |
| 0.3226        | 36.0  | 15480 | 0.3570          | 0.9116   |
| 0.3197        | 37.0  | 15910 | 0.3502          | 0.9144   |
| 0.3038        | 38.0  | 16340 | 0.3463          | 0.9144   |
| 0.3038        | 39.0  | 16770 | 0.3448          | 0.9116   |
| 0.2918        | 40.0  | 17200 | 0.3448          | 0.9144   |
| 0.2937        | 41.0  | 17630 | 0.3460          | 0.9144   |
| 0.2845        | 42.0  | 18060 | 0.3414          | 0.9199   |
| 0.2845        | 43.0  | 18490 | 0.3412          | 0.9199   |
| 0.2785        | 44.0  | 18920 | 0.3401          | 0.9227   |
| 0.2781        | 45.0  | 19350 | 0.3372          | 0.9199   |
| 0.2665        | 46.0  | 19780 | 0.3364          | 0.9199   |
| 0.2722        | 47.0  | 20210 | 0.3352          | 0.9199   |
| 0.2683        | 48.0  | 20640 | 0.3359          | 0.9199   |
| 0.267         | 49.0  | 21070 | 0.3345          | 0.9199   |
| 0.2641        | 50.0  | 21500 | 0.3344          | 0.9199   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0