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# electricidad-base-finetuned-go_emotions-es-2

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the go_emotions dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0837
- Accuracy: 0.5591
- F1: 0.5582

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 1.7525        | 1.0   | 2270  | 1.6088          | 0.5618   | 0.5076 |
| 1.4522        | 2.0   | 4540  | 1.4687          | 0.5807   | 0.5534 |
| 1.2798        | 3.0   | 6810  | 1.4550          | 0.5910   | 0.5773 |
| 1.0825        | 4.0   | 9080  | 1.5068          | 0.5873   | 0.5726 |
| 0.9214        | 5.0   | 11350 | 1.6168          | 0.5776   | 0.5743 |
| 0.7696        | 6.0   | 13620 | 1.7338          | 0.5776   | 0.5722 |
| 0.6688        | 7.0   | 15890 | 1.8733          | 0.5631   | 0.5596 |
| 0.553         | 8.0   | 18160 | 1.9571          | 0.5574   | 0.5591 |
| 0.4626        | 9.0   | 20430 | 2.0499          | 0.5646   | 0.5625 |
| 0.4399        | 10.0  | 22700 | 2.0837          | 0.5591   | 0.5582 |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "datasets": ["go_emotions"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "electricidad-base-finetuned-go_emotions-es-2", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "go_emotions", "type": "go_emotions", "config": "simplified", "split": "train", "args": "simplified"}, "metrics": [{"type": "accuracy", "value": 0.5591468777484608, "name": "Accuracy"}, {"type": "f1", "value": 0.5581665299693344, "name": "F1"}]}]}]}
transformers pytorch tensorboard electra text-classification generated_from_trainer dataset:go_emotions model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #dataset-go_emotions #model-index #autotrain_compatible #endpoints_compatible #region-us 

electricidad-base-finetuned-go\_emotions-es-2
=============================================


This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the go\_emotions dataset.
It achieves the following results on the evaluation set:


* Loss: 2.0837
* Accuracy: 0.5591
* F1: 0.5582


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: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #dataset-go_emotions #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #dataset-go_emotions #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1