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---
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: tiny_bert_25_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. -->
# tiny_bert_25_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: 0.2718
- Accuracy: 0.9238
- F1: 0.9238
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 1.0 | 472 | 1.9552 | 0.6143 | 0.6143 |
| 2.6425 | 2.0 | 944 | 1.1750 | 0.7952 | 0.7952 |
| 1.5608 | 3.0 | 1416 | 0.7802 | 0.8667 | 0.8667 |
| 0.9473 | 4.0 | 1888 | 0.5623 | 0.8976 | 0.8976 |
| 0.6217 | 5.0 | 2360 | 0.4360 | 0.9167 | 0.9167 |
| 0.4313 | 6.0 | 2832 | 0.3584 | 0.9143 | 0.9143 |
| 0.3165 | 7.0 | 3304 | 0.3150 | 0.9238 | 0.9238 |
| 0.237 | 8.0 | 3776 | 0.3006 | 0.9214 | 0.9214 |
| 0.1674 | 9.0 | 4248 | 0.2799 | 0.9214 | 0.9214 |
| 0.1691 | 10.0 | 4720 | 0.2647 | 0.9238 | 0.9238 |
| 0.1263 | 11.0 | 5192 | 0.2742 | 0.9238 | 0.9238 |
| 0.1201 | 12.0 | 5664 | 0.2745 | 0.9214 | 0.9214 |
| 0.1132 | 13.0 | 6136 | 0.2641 | 0.9214 | 0.9214 |
| 0.1045 | 14.0 | 6608 | 0.2728 | 0.9238 | 0.9238 |
| 0.0918 | 15.0 | 7080 | 0.2718 | 0.9238 | 0.9238 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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