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# FLAN-T5-QASPER-NLP-Paper-to-Question-Generation-answer-input

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0746

## 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: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 184
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.99  | 46   | 39.0024         |
| 33.7249       | 1.99  | 92   | 18.8406         |
| 33.7249       | 2.98  | 138  | 5.0432          |
| 8.9783        | 3.97  | 184  | 0.1579          |
| 8.9783        | 4.97  | 230  | 0.0941          |
| 0.1833        | 5.96  | 276  | 0.0810          |
| 0.1833        | 6.95  | 322  | 0.0756          |
| 0.1047        | 7.95  | 368  | 0.0746          |
| 0.1047        | 8.94  | 414  | 0.0746          |
| 0.0995        | 9.93  | 460  | 0.0746          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-large", "model-index": [{"name": "FLAN-T5-QASPER-NLP-Paper-to-Question-Generation-answer-input", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-large license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us