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# outputs

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2024
- eval_runtime: 54.2672
- eval_samples_per_second: 18.372
- eval_steps_per_second: 9.195
- epoch: 6.0
- step: 12000

## 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: 0.002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "outputs", "results": []}]}
pytorch tensorboard generated_from_trainer license:apache-2.0 region:us
TAGS
#pytorch #tensorboard #generated_from_trainer #license-apache-2.0 #region-us 




# outputs

This model is a fine-tuned version of google/mt5-large on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2024
- eval_runtime: 54.2672
- eval_samples_per_second: 18.372
- eval_steps_per_second: 9.195
- epoch: 6.0
- step: 12000

## 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: 0.002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

# outputs

This model is a fine-tuned version of google/mt5-large on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2024
- eval_runtime: 54.2672
- eval_samples_per_second: 18.372
- eval_steps_per_second: 9.195
- epoch: 6.0
- step: 12000 ## 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: 0.002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
TAGS
#pytorch #tensorboard #generated_from_trainer #license-apache-2.0 #region-us 
 # outputs

This model is a fine-tuned version of google/mt5-large on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2024
- eval_runtime: 54.2672
- eval_samples_per_second: 18.372
- eval_steps_per_second: 9.195
- epoch: 6.0
- step: 12000 ## 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: 0.002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
TAGS
#pytorch #tensorboard #generated_from_trainer #license-apache-2.0 #region-us 
# outputs

This model is a fine-tuned version of google/mt5-large on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2024
- eval_runtime: 54.2672
- eval_samples_per_second: 18.372
- eval_steps_per_second: 9.195
- epoch: 6.0
- step: 12000## 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: 0.002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2