
<!-- 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. -->

# t5_squad

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the squad dataset, using the extractive method by isolating the encoder only.

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

{
    "epoch": 3.0,
    "eval_exact_match": 70.06622516556291,
    "eval_f1": 80.02993815400357,
    "eval_samples": 10659
}

### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "t5_squad", "results": []}]}
transformers pytorch tensorboard generated_from_trainer dataset:squad license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us 




# t5_squad

This model is a fine-tuned version of t5-small on the squad dataset, using the extractive method by isolating the encoder only.

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

{
    "epoch": 3.0,
    "eval_exact_match": 70.06622516556291,
    "eval_f1": 80.02993815400357,
    "eval_samples": 10659
}

### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6

# t5_squad

This model is a fine-tuned version of t5-small on the squad dataset, using the extractive method by isolating the encoder only. ## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results

{
    "epoch": 3.0,
    "eval_exact_match": 70.06622516556291,
    "eval_f1": 80.02993815400357,
    "eval_samples": 10659
} ### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
TAGS
#transformers #pytorch #tensorboard #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us 
 # t5_squad

This model is a fine-tuned version of t5-small on the squad dataset, using the extractive method by isolating the encoder only. ## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results

{
    "epoch": 3.0,
    "eval_exact_match": 70.06622516556291,
    "eval_f1": 80.02993815400357,
    "eval_samples": 10659
} ### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
passage: TAGS
#transformers #pytorch #tensorboard #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us 
# t5_squad

This model is a fine-tuned version of t5-small on the squad dataset, using the extractive method by isolating the encoder only.## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0### Training results

{
    "epoch": 3.0,
    "eval_exact_match": 70.06622516556291,
    "eval_f1": 80.02993815400357,
    "eval_samples": 10659
}### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6