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# electra-large-discriminator-nli-efl-tweeteval

This model is a fine-tuned version of [ynie/electra-large-discriminator-snli_mnli_fever_anli_R1_R2_R3-nli](https://huggingface.co/ynie/electra-large-discriminator-snli_mnli_fever_anli_R1_R2_R3-nli) on the None dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.7943
- F1: 0.7872
- Loss: 0.3004

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 | Accuracy | F1     | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|
| 0.4384        | 1.0   | 163  | 0.7444   | 0.7308 | 0.3962          |
| 0.3447        | 2.0   | 326  | 0.7659   | 0.7552 | 0.3410          |
| 0.3057        | 3.0   | 489  | 0.7750   | 0.7688 | 0.3234          |
| 0.287         | 4.0   | 652  | 0.7857   | 0.7779 | 0.3069          |
| 0.2742        | 5.0   | 815  | 0.7887   | 0.7822 | 0.3030          |
| 0.2676        | 6.0   | 978  | 0.7939   | 0.7851 | 0.2982          |
| 0.2585        | 7.0   | 1141 | 0.7909   | 0.7822 | 0.3002          |
| 0.2526        | 8.0   | 1304 | 0.7943   | 0.7876 | 0.3052          |
| 0.2479        | 9.0   | 1467 | 0.7939   | 0.7847 | 0.2997          |
| 0.2451        | 10.0  | 1630 | 0.7956   | 0.7873 | 0.3014          |
| 0.2397        | 11.0  | 1793 | 0.7943   | 0.7872 | 0.3004          |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.12.0.dev20220417
- Datasets 2.1.0
- Tokenizers 0.10.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "electra-large-discriminator-nli-efl-tweeteval", "results": []}]}
transformers pytorch electra text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

electra-large-discriminator-nli-efl-tweeteval
=============================================


This model is a fine-tuned version of ynie/electra-large-discriminator-snli\_mnli\_fever\_anli\_R1\_R2\_R3-nli on the None dataset.
It achieves the following results on the evaluation set:


* Accuracy: 0.7943
* F1: 0.7872
* Loss: 0.3004


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: 1e-06
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.16.2
* Pytorch 1.12.0.dev20220417
* Datasets 2.1.0
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.16.2
* Pytorch 1.12.0.dev20220417
* Datasets 2.1.0
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #electra #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.16.2
* Pytorch 1.12.0.dev20220417
* Datasets 2.1.0
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #electra #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.16.2
* Pytorch 1.12.0.dev20220417
* Datasets 2.1.0
* Tokenizers 0.10.3