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# paraphraser-spanish-t5-small

This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1079
- eval_runtime: 4.9573
- eval_samples_per_second: 365.924
- eval_steps_per_second: 36.713
- epoch: 0.83
- step: 43141

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
{"language": ["es"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["paws-x", "tapaco"], "model-index": [{"name": "paraphraser-spanish-t5-small", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer es dataset:paws-x dataset:tapaco license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #es #dataset-paws-x #dataset-tapaco #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# paraphraser-spanish-t5-small

This model is a fine-tuned version of flax-community/spanish-t5-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1079
- eval_runtime: 4.9573
- eval_samples_per_second: 365.924
- eval_steps_per_second: 36.713
- epoch: 0.83
- step: 43141

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
# paraphraser-spanish-t5-small

This model is a fine-tuned version of flax-community/spanish-t5-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1079
- eval_runtime: 4.9573
- eval_samples_per_second: 365.924
- eval_steps_per_second: 36.713
- epoch: 0.83
- step: 43141 ## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4 ### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #es #dataset-paws-x #dataset-tapaco #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # paraphraser-spanish-t5-small

This model is a fine-tuned version of flax-community/spanish-t5-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1079
- eval_runtime: 4.9573
- eval_samples_per_second: 365.924
- eval_steps_per_second: 36.713
- epoch: 0.83
- step: 43141 ## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4 ### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
passage: TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #es #dataset-paws-x #dataset-tapaco #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# paraphraser-spanish-t5-small

This model is a fine-tuned version of flax-community/spanish-t5-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1079
- eval_runtime: 4.9573
- eval_samples_per_second: 365.924
- eval_steps_per_second: 36.713
- epoch: 0.83
- step: 43141## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2