---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-qasper
  results: []
---

<!-- 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-base-qasper

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: 1.1947
- Answer f1: 0.0483

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 | Answer f1 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 262  | 1.4772          | 0.0433    |
| 1.5405        | 2.0   | 524  | 1.2919          | 0.0492    |
| 1.5405        | 3.0   | 786  | 1.2517          | 0.0491    |
| 1.1476        | 4.0   | 1048 | 1.2292          | 0.0492    |
| 1.1476        | 5.0   | 1310 | 1.2197          | 0.0497    |
| 1.056         | 6.0   | 1572 | 1.2150          | 0.0509    |
| 1.056         | 7.0   | 1834 | 1.2116          | 0.0507    |
| 0.9915        | 8.0   | 2096 | 1.2048          | 0.0503    |
| 0.9915        | 9.0   | 2358 | 1.2056          | 0.0512    |
| 0.9418        | 10.0  | 2620 | 1.1954          | 0.0497    |
| 0.9418        | 11.0  | 2882 | 1.1977          | 0.0491    |
| 0.9348        | 12.0  | 3144 | 1.1954          | 0.0486    |
| 0.9348        | 13.0  | 3406 | 1.1926          | 0.0482    |
| 0.9073        | 14.0  | 3668 | 1.1946          | 0.0486    |
| 0.9073        | 15.0  | 3930 | 1.1919          | 0.0480    |
| 0.8769        | 16.0  | 4192 | 1.1955          | 0.0485    |
| 0.8769        | 17.0  | 4454 | 1.1941          | 0.0481    |
| 0.8754        | 18.0  | 4716 | 1.1947          | 0.0483    |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2