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# exist-2023-task3

This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3814
- Acc: 47.9045

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 97   | 0.4243          | 28.9107 |
| No log        | 2.0   | 194  | 0.4149          | 31.6012 |
| No log        | 3.0   | 291  | 0.4112          | 32.5061 |
| No log        | 4.0   | 388  | 0.4111          | 32.6858 |
| No log        | 5.0   | 485  | 0.4049          | 34.8687 |
| 0.416         | 6.0   | 582  | 0.4023          | 35.9895 |
| 0.416         | 7.0   | 679  | 0.4005          | 36.6499 |
| 0.416         | 8.0   | 776  | 0.3978          | 38.6035 |
| 0.416         | 9.0   | 873  | 0.3964          | 38.5017 |
| 0.416         | 10.0  | 970  | 0.3931          | 40.5065 |
| 0.4029        | 11.0  | 1067 | 0.3912          | 42.2190 |
| 0.4029        | 12.0  | 1164 | 0.3891          | 43.2468 |
| 0.4029        | 13.0  | 1261 | 0.3888          | 42.6855 |
| 0.4029        | 14.0  | 1358 | 0.3861          | 44.5341 |
| 0.4029        | 15.0  | 1455 | 0.3851          | 44.8797 |
| 0.3932        | 16.0  | 1552 | 0.3841          | 46.3287 |
| 0.3932        | 17.0  | 1649 | 0.3832          | 46.5887 |
| 0.3932        | 18.0  | 1746 | 0.3820          | 47.4830 |
| 0.3932        | 19.0  | 1843 | 0.3817          | 47.8015 |
| 0.3932        | 20.0  | 1940 | 0.3814          | 47.9045 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "exist-2023-task3", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 

exist-2023-task3
================


This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3814
* Acc: 47.9045


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: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3