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# fine-tuning-albert-tiny-041123

This model is a fine-tuned version of [dccuchile/albert-tiny-spanish](https://huggingface.co/dccuchile/albert-tiny-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2027
- Precision: 0.1111
- F1: 0.1667
- Recall: 0.3333
- Accuracy: 0.3333

## 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: 5e-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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | F1     | Recall | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.034         | 1.0   | 1304  | 1.2027          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0266        | 2.0   | 2608  | 1.1847          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0248        | 3.0   | 3912  | 1.1969          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0317        | 4.0   | 5216  | 1.2050          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0285        | 5.0   | 6520  | 1.1994          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0281        | 6.0   | 7824  | 1.1928          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0216        | 7.0   | 9128  | 1.2110          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0268        | 8.0   | 10432 | 1.2035          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["precision", "f1", "recall", "accuracy"], "model-index": [{"name": "fine-tuning-albert-tiny-041123", "results": []}]}
transformers pytorch albert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #albert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

fine-tuning-albert-tiny-041123
==============================


This model is a fine-tuned version of dccuchile/albert-tiny-spanish on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.2027
* Precision: 0.1111
* F1: 0.1667
* Recall: 0.3333
* Accuracy: 0.3333


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: 5e-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: 8


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-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: 8 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #albert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-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: 8 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #albert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-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: 8### Training results### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Datasets 2.11.0
* Tokenizers 0.13.3