
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# multi_doc_sum

This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2+cu113
- Datasets 2.10.1
- Tokenizers 0.13.0

{"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "multi_doc_sum", "results": []}]}
transformers pytorch t5 generated_from_trainer dataset:cnn_dailymail endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #generated_from_trainer #dataset-cnn_dailymail #endpoints_compatible #text-generation-inference #region-us 




# multi_doc_sum

This model is a fine-tuned version of [](URL on the cnn_dailymail 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2+cu113
- Datasets 2.10.1
- Tokenizers 0.13.0

# multi_doc_sum

This model is a fine-tuned version of [](URL on the cnn_dailymail 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2+cu113
- Datasets 2.10.1
- Tokenizers 0.13.0
TAGS
#transformers #pytorch #t5 #generated_from_trainer #dataset-cnn_dailymail #endpoints_compatible #text-generation-inference #region-us 
 # multi_doc_sum

This model is a fine-tuned version of [](URL on the cnn_dailymail 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2+cu113
- Datasets 2.10.1
- Tokenizers 0.13.0