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# flan-t5-base-qg-squad_v2

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6469
- eval_rouge1: 39.1078
- eval_rouge2: 18.2571
- eval_rougeL: 35.879
- eval_rougeLsum: 35.8905
- eval_meteor: 34.5328
- eval_bleu4: 13.7701
- eval_bleu-p1: 39.9710
- eval_bleu-p2: 15.9261
- eval_bleu-p3: 9.5710
- eval_bleu-p4: 6.2028
- eval_gen_len: 14.6978
- eval_runtime: 1044.5092
- eval_samples_per_second: 11.367
- eval_steps_per_second: 1.422
- epoch: 3.0
- step: 48870

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.5005e-05
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad_v2"], "model-index": [{"name": "flan-t5-base-qg-squad_v2", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:squad_v2 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-squad_v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# flan-t5-base-qg-squad_v2

This model is a fine-tuned version of google/flan-t5-base on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6469
- eval_rouge1: 39.1078
- eval_rouge2: 18.2571
- eval_rougeL: 35.879
- eval_rougeLsum: 35.8905
- eval_meteor: 34.5328
- eval_bleu4: 13.7701
- eval_bleu-p1: 39.9710
- eval_bleu-p2: 15.9261
- eval_bleu-p3: 9.5710
- eval_bleu-p4: 6.2028
- eval_gen_len: 14.6978
- eval_runtime: 1044.5092
- eval_samples_per_second: 11.367
- eval_steps_per_second: 1.422
- epoch: 3.0
- step: 48870

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.5005e-05
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

# flan-t5-base-qg-squad_v2

This model is a fine-tuned version of google/flan-t5-base on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6469
- eval_rouge1: 39.1078
- eval_rouge2: 18.2571
- eval_rougeL: 35.879
- eval_rougeLsum: 35.8905
- eval_meteor: 34.5328
- eval_bleu4: 13.7701
- eval_bleu-p1: 39.9710
- eval_bleu-p2: 15.9261
- eval_bleu-p3: 9.5710
- eval_bleu-p4: 6.2028
- eval_gen_len: 14.6978
- eval_runtime: 1044.5092
- eval_samples_per_second: 11.367
- eval_steps_per_second: 1.422
- epoch: 3.0
- step: 48870 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.5005e-05
- lr_scheduler_type: linear
- num_epochs: 5 ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-squad_v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # flan-t5-base-qg-squad_v2

This model is a fine-tuned version of google/flan-t5-base on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6469
- eval_rouge1: 39.1078
- eval_rouge2: 18.2571
- eval_rougeL: 35.879
- eval_rougeLsum: 35.8905
- eval_meteor: 34.5328
- eval_bleu4: 13.7701
- eval_bleu-p1: 39.9710
- eval_bleu-p2: 15.9261
- eval_bleu-p3: 9.5710
- eval_bleu-p4: 6.2028
- eval_gen_len: 14.6978
- eval_runtime: 1044.5092
- eval_samples_per_second: 11.367
- eval_steps_per_second: 1.422
- epoch: 3.0
- step: 48870 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.5005e-05
- lr_scheduler_type: linear
- num_epochs: 5 ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3