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# test-xlm-roberta-base-amzaon-reviews-mlm

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the amazon_reviews_multi all_languages dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1091
- Accuracy: 0.5032

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.10.0
- Datasets 1.18.3
- Tokenizers 0.11.0
{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["amazon_reviews_multi"], "metrics": ["accuracy"], "model-index": [{"name": "test-xlm-roberta-base-amzaon-reviews-mlm", "results": [{"task": {"type": "fill-mask", "name": "Masked Language Modeling"}, "dataset": {"name": "amazon_reviews_multi all_languages", "type": "amazon_reviews_multi", "args": "all_languages"}, "metrics": [{"type": "accuracy", "value": 0.5032103794889962, "name": "Accuracy"}]}]}]}
transformers pytorch generated_from_trainer dataset:amazon_reviews_multi license:mit model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #generated_from_trainer #dataset-amazon_reviews_multi #license-mit #model-index #endpoints_compatible #region-us 




# test-xlm-roberta-base-amzaon-reviews-mlm

This model is a fine-tuned version of xlm-roberta-base on the amazon_reviews_multi all_languages dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1091
- Accuracy: 0.5032

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.10.0
- Datasets 1.18.3
- Tokenizers 0.11.0
# test-xlm-roberta-base-amzaon-reviews-mlm

This model is a fine-tuned version of xlm-roberta-base on the amazon_reviews_multi all_languages dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1091
- Accuracy: 0.5032 ## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results ### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.10.0
- Datasets 1.18.3
- Tokenizers 0.11.0
TAGS
#transformers #pytorch #generated_from_trainer #dataset-amazon_reviews_multi #license-mit #model-index #endpoints_compatible #region-us 
 # test-xlm-roberta-base-amzaon-reviews-mlm

This model is a fine-tuned version of xlm-roberta-base on the amazon_reviews_multi all_languages dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1091
- Accuracy: 0.5032 ## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results ### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.10.0
- Datasets 1.18.3
- Tokenizers 0.11.0
passage: TAGS
#transformers #pytorch #generated_from_trainer #dataset-amazon_reviews_multi #license-mit #model-index #endpoints_compatible #region-us 
# test-xlm-roberta-base-amzaon-reviews-mlm

This model is a fine-tuned version of xlm-roberta-base on the amazon_reviews_multi all_languages dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1091
- Accuracy: 0.5032## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0### Training results### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.10.0
- Datasets 1.18.3
- Tokenizers 0.11.0