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# flan-t5-large-report-extraction-2

This model is a fine-tuned version of [../../checkpoints/flan-t5-large-BioDEX-ICSR-lowerlr-longercontext2-longertarget](https://huggingface.co/../../checkpoints/flan-t5-large-BioDEX-ICSR-lowerlr-longercontext2-longertarget) on the BioDEX/BioDEX-ICSR 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "datasets": ["BioDEX/BioDEX-ICSR"], "model-index": [{"name": "flan-t5-large-report-extraction-2", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:BioDEX/BioDEX-ICSR autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-BioDEX/BioDEX-ICSR #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# flan-t5-large-report-extraction-2

This model is a fine-tuned version of ../../checkpoints/flan-t5-large-BioDEX-ICSR-lowerlr-longercontext2-longertarget on the BioDEX/BioDEX-ICSR 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.3

# flan-t5-large-report-extraction-2

This model is a fine-tuned version of ../../checkpoints/flan-t5-large-BioDEX-ICSR-lowerlr-longercontext2-longertarget on the BioDEX/BioDEX-ICSR 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0 ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-BioDEX/BioDEX-ICSR #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # flan-t5-large-report-extraction-2

This model is a fine-tuned version of ../../checkpoints/flan-t5-large-BioDEX-ICSR-lowerlr-longercontext2-longertarget on the BioDEX/BioDEX-ICSR 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0 ### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.3