---
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: 0.4559
- Accuracy: 0.9122

## 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   | 378   | 3.0359          | 0.3448   |
| 3.1662        | 2.0   | 756   | 2.7596          | 0.4953   |
| 2.7937        | 3.0   | 1134  | 2.4944          | 0.5141   |
| 2.4474        | 4.0   | 1512  | 2.2497          | 0.5674   |
| 2.4474        | 5.0   | 1890  | 2.0280          | 0.6207   |
| 2.1416        | 6.0   | 2268  | 1.8382          | 0.6646   |
| 1.8743        | 7.0   | 2646  | 1.6716          | 0.6740   |
| 1.6483        | 8.0   | 3024  | 1.5295          | 0.6959   |
| 1.6483        | 9.0   | 3402  | 1.4096          | 0.7304   |
| 1.4578        | 10.0  | 3780  | 1.3064          | 0.7304   |
| 1.3078        | 11.0  | 4158  | 1.2158          | 0.7524   |
| 1.1745        | 12.0  | 4536  | 1.1396          | 0.7555   |
| 1.1745        | 13.0  | 4914  | 1.0636          | 0.7837   |
| 1.0674        | 14.0  | 5292  | 1.0014          | 0.7931   |
| 0.9794        | 15.0  | 5670  | 0.9418          | 0.8119   |
| 0.8783        | 16.0  | 6048  | 0.8938          | 0.8307   |
| 0.8783        | 17.0  | 6426  | 0.8488          | 0.8401   |
| 0.8241        | 18.0  | 6804  | 0.8048          | 0.8370   |
| 0.7575        | 19.0  | 7182  | 0.7750          | 0.8401   |
| 0.7055        | 20.0  | 7560  | 0.7406          | 0.8433   |
| 0.7055        | 21.0  | 7938  | 0.7063          | 0.8589   |
| 0.6492        | 22.0  | 8316  | 0.6821          | 0.8527   |
| 0.6121        | 23.0  | 8694  | 0.6619          | 0.8589   |
| 0.5644        | 24.0  | 9072  | 0.6393          | 0.8683   |
| 0.5644        | 25.0  | 9450  | 0.6200          | 0.8683   |
| 0.5406        | 26.0  | 9828  | 0.5992          | 0.8746   |
| 0.5148        | 27.0  | 10206 | 0.5846          | 0.8809   |
| 0.4723        | 28.0  | 10584 | 0.5659          | 0.8934   |
| 0.4723        | 29.0  | 10962 | 0.5566          | 0.8934   |
| 0.4653        | 30.0  | 11340 | 0.5447          | 0.8966   |
| 0.4386        | 31.0  | 11718 | 0.5358          | 0.8997   |
| 0.4163        | 32.0  | 12096 | 0.5242          | 0.8997   |
| 0.4163        | 33.0  | 12474 | 0.5183          | 0.9028   |
| 0.404         | 34.0  | 12852 | 0.5113          | 0.9028   |
| 0.3849        | 35.0  | 13230 | 0.5005          | 0.9028   |
| 0.3677        | 36.0  | 13608 | 0.4966          | 0.9060   |
| 0.3677        | 37.0  | 13986 | 0.4908          | 0.9091   |
| 0.3652        | 38.0  | 14364 | 0.4843          | 0.9091   |
| 0.3533        | 39.0  | 14742 | 0.4784          | 0.9060   |
| 0.3362        | 40.0  | 15120 | 0.4733          | 0.9091   |
| 0.3362        | 41.0  | 15498 | 0.4703          | 0.9091   |
| 0.3403        | 42.0  | 15876 | 0.4668          | 0.9091   |
| 0.3268        | 43.0  | 16254 | 0.4642          | 0.9122   |
| 0.3229        | 44.0  | 16632 | 0.4642          | 0.9091   |
| 0.3177        | 45.0  | 17010 | 0.4606          | 0.9154   |
| 0.3177        | 46.0  | 17388 | 0.4575          | 0.9122   |
| 0.3137        | 47.0  | 17766 | 0.4574          | 0.9122   |
| 0.3067        | 48.0  | 18144 | 0.4562          | 0.9122   |
| 0.3054        | 49.0  | 18522 | 0.4561          | 0.9122   |
| 0.3054        | 50.0  | 18900 | 0.4559          | 0.9122   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1