---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-extraction-cnndm_fs0.05-all
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-extraction-cnndm_fs0.05-all

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7605

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3409        | 0.45  | 200  | 1.9264          |
| 2.0082        | 0.9   | 400  | 1.8570          |
| 1.9247        | 1.35  | 600  | 1.8290          |
| 1.8895        | 1.81  | 800  | 1.8162          |
| 1.8625        | 2.26  | 1000 | 1.8015          |
| 1.8354        | 2.71  | 1200 | 1.7894          |
| 1.8013        | 3.16  | 1400 | 1.7824          |
| 1.7901        | 3.61  | 1600 | 1.7796          |
| 1.7769        | 4.06  | 1800 | 1.7807          |
| 1.7661        | 4.51  | 2000 | 1.7646          |
| 1.7536        | 4.97  | 2200 | 1.7605          |
| 1.9045        | 5.42  | 2400 | 2.1358          |
| 2.4322        | 5.87  | 2600 | 2.3688          |
| 2.4809        | 6.32  | 2800 | 2.3622          |
| 2.4628        | 6.77  | 3000 | 2.3625          |
| 2.4676        | 7.22  | 3200 | 2.3639          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1