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# pixel-base-finetuned-xnli-translate-train-all

This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base) on the XNLI dataset.

## 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: 256
- eval_batch_size: 8
- seed: 555
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 50000
- mixed_precision_training: Apex, opt level O1

### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.12.1

{"language": ["en", "ar", "bg", "de", "el", "fr", "hi", "ru", "es", "sw", "th", "tr", "ur", "vi", "zh"], "tags": ["generated_from_trainer"], "datasets": ["xnli"], "metrics": ["accuracy"], "model-index": [{"name": "pixel-base-finetuned-xnli-translate-train-all", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "XNLI", "type": "xnli", "args": "xnli"}, "metrics": [{"type": "accuracy", "value": 0.6254886211512718, "name": "Joint validation accuracy"}]}]}]}
transformers pytorch pixel text-classification generated_from_trainer en ar bg de el fr hi ru es sw th tr ur vi zh dataset:xnli model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #pixel #text-classification #generated_from_trainer #en #ar #bg #de #el #fr #hi #ru #es #sw #th #tr #ur #vi #zh #dataset-xnli #model-index #autotrain_compatible #endpoints_compatible #region-us 




# pixel-base-finetuned-xnli-translate-train-all

This model is a fine-tuned version of Team-PIXEL/pixel-base on the XNLI dataset.

## 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: 256
- eval_batch_size: 8
- seed: 555
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 50000
- mixed_precision_training: Apex, opt level O1

### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.12.1

# pixel-base-finetuned-xnli-translate-train-all

This model is a fine-tuned version of Team-PIXEL/pixel-base on the XNLI dataset. ## 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: 256
- eval_batch_size: 8
- seed: 555
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 50000
- mixed_precision_training: Apex, opt level O1 ### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #pixel #text-classification #generated_from_trainer #en #ar #bg #de #el #fr #hi #ru #es #sw #th #tr #ur #vi #zh #dataset-xnli #model-index #autotrain_compatible #endpoints_compatible #region-us 
 # pixel-base-finetuned-xnli-translate-train-all

This model is a fine-tuned version of Team-PIXEL/pixel-base on the XNLI dataset. ## 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: 256
- eval_batch_size: 8
- seed: 555
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 50000
- mixed_precision_training: Apex, opt level O1 ### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #pixel #text-classification #generated_from_trainer #en #ar #bg #de #el #fr #hi #ru #es #sw #th #tr #ur #vi #zh #dataset-xnli #model-index #autotrain_compatible #endpoints_compatible #region-us 
# pixel-base-finetuned-xnli-translate-train-all

This model is a fine-tuned version of Team-PIXEL/pixel-base on the XNLI dataset.## 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: 256
- eval_batch_size: 8
- seed: 555
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 50000
- mixed_precision_training: Apex, opt level O1### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.12.1