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# flan-t5-small-cnn_dailymail

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.7942
- eval_rouge1: 24.347
- eval_rouge2: 11.4242
- eval_rougeL: 20.0736
- eval_rougeLsum: 22.8723
- eval_gen_len: 18.9995
- eval_runtime: 492.0285
- eval_samples_per_second: 23.352
- eval_steps_per_second: 3.892
- epoch: 4.11
- step: 196452

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2

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




# flan-t5-small-cnn_dailymail

This model is a fine-tuned version of google/flan-t5-small on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.7942
- eval_rouge1: 24.347
- eval_rouge2: 11.4242
- eval_rougeL: 20.0736
- eval_rougeLsum: 22.8723
- eval_gen_len: 18.9995
- eval_runtime: 492.0285
- eval_samples_per_second: 23.352
- eval_steps_per_second: 3.892
- epoch: 4.11
- step: 196452

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2

# flan-t5-small-cnn_dailymail

This model is a fine-tuned version of google/flan-t5-small on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.7942
- eval_rouge1: 24.347
- eval_rouge2: 11.4242
- eval_rougeL: 20.0736
- eval_rougeLsum: 22.8723
- eval_gen_len: 18.9995
- eval_runtime: 492.0285
- eval_samples_per_second: 23.352
- eval_steps_per_second: 3.892
- epoch: 4.11
- step: 196452 ## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # flan-t5-small-cnn_dailymail

This model is a fine-tuned version of google/flan-t5-small on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.7942
- eval_rouge1: 24.347
- eval_rouge2: 11.4242
- eval_rougeL: 20.0736
- eval_rougeLsum: 22.8723
- eval_gen_len: 18.9995
- eval_runtime: 492.0285
- eval_samples_per_second: 23.352
- eval_steps_per_second: 3.892
- epoch: 4.11
- step: 196452 ## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# flan-t5-small-cnn_dailymail

This model is a fine-tuned version of google/flan-t5-small on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.7942
- eval_rouge1: 24.347
- eval_rouge2: 11.4242
- eval_rougeL: 20.0736
- eval_rougeLsum: 22.8723
- eval_gen_len: 18.9995
- eval_runtime: 492.0285
- eval_samples_per_second: 23.352
- eval_steps_per_second: 3.892
- epoch: 4.11
- step: 196452## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2