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# t5-small-finetuned-text-simplification

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wiki_auto dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9058
- eval_sari: 57.2104
- eval_runtime: 907.1945
- eval_samples_per_second: 80.742
- eval_steps_per_second: 5.047
- epoch: 3.0
- step: 70089

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wiki_auto"], "model-index": [{"name": "t5-small-finetuned-text-simplification", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:wiki_auto license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-wiki_auto #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# t5-small-finetuned-text-simplification

This model is a fine-tuned version of t5-small on the wiki_auto dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9058
- eval_sari: 57.2104
- eval_runtime: 907.1945
- eval_samples_per_second: 80.742
- eval_steps_per_second: 5.047
- epoch: 3.0
- step: 70089

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

# t5-small-finetuned-text-simplification

This model is a fine-tuned version of t5-small on the wiki_auto dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9058
- eval_sari: 57.2104
- eval_runtime: 907.1945
- eval_samples_per_second: 80.742
- eval_steps_per_second: 5.047
- epoch: 3.0
- step: 70089 ## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-wiki_auto #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # t5-small-finetuned-text-simplification

This model is a fine-tuned version of t5-small on the wiki_auto dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9058
- eval_sari: 57.2104
- eval_runtime: 907.1945
- eval_samples_per_second: 80.742
- eval_steps_per_second: 5.047
- epoch: 3.0
- step: 70089 ## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-wiki_auto #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# t5-small-finetuned-text-simplification

This model is a fine-tuned version of t5-small on the wiki_auto dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9058
- eval_sari: 57.2104
- eval_runtime: 907.1945
- eval_samples_per_second: 80.742
- eval_steps_per_second: 5.047
- epoch: 3.0
- step: 70089## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2