

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the 
[bart_newsroom](https://huggingface.co/datasets/yuyang/bart_newsroom) dataset.

## 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: 2.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.27.1
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.13.2


{"license": "mit"}
transformers pytorch bart text2text-generation license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bart #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us 



This model is a fine-tuned version of facebook/bart-large-cnn on the 
bart_newsroom dataset.

## 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: 2.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.27.1
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.13.2


## 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: 2.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.27.1
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #bart #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ## 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: 2.0
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.27.1
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #bart #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us 
## 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: 2.0
- mixed_precision_training: Native AMP### Framework versions

- Transformers 4.27.1
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.13.2