---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-feedback
  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-finetuned-feedback

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2738
- Rouge1: 55.9578
- Rouge2: 31.3401
- Rougel: 52.9556
- Rougelsum: 53.1034
- Gen Len: 10.2562

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 61   | 1.4341          | 53.0065 | 28.3454 | 50.4489 | 50.5377   | 9.3388  |
| No log        | 2.0   | 122  | 1.3604          | 53.2275 | 28.6424 | 50.6585 | 50.7617   | 9.8182  |
| No log        | 3.0   | 183  | 1.3207          | 52.7581 | 28.6272 | 49.6977 | 49.7928   | 10.0661 |
| No log        | 4.0   | 244  | 1.3098          | 53.5227 | 28.6578 | 50.2637 | 50.2897   | 9.9752  |
| No log        | 5.0   | 305  | 1.2898          | 54.4587 | 29.8825 | 51.3522 | 51.4744   | 9.876   |
| No log        | 6.0   | 366  | 1.2781          | 54.046  | 29.7089 | 51.3241 | 51.4283   | 10.1818 |
| No log        | 7.0   | 427  | 1.2771          | 55.1788 | 30.8745 | 52.3598 | 52.4871   | 10.2149 |
| No log        | 8.0   | 488  | 1.2762          | 55.6258 | 30.9444 | 52.5715 | 52.6889   | 10.2397 |
| 1.2952        | 9.0   | 549  | 1.2746          | 55.759  | 30.918  | 52.8427 | 52.8878   | 10.1818 |
| 1.2952        | 10.0  | 610  | 1.2738          | 55.9578 | 31.3401 | 52.9556 | 53.1034   | 10.2562 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1