---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5-model-1-feedback-0611-4e
  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-model-1-feedback-0611-4e

This model is a fine-tuned version of [theojolliffe/T5-model-1-feedback-1109](https://huggingface.co/theojolliffe/T5-model-1-feedback-1109) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1221
- Rouge1: 93.9996
- Rouge2: 89.632
- Rougel: 93.4347
- Rougelsum: 93.4442
- Gen Len: 15.0185

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.2124        | 1.0   | 2571  | 0.1594          | 93.667  | 89.1053 | 93.052  | 93.0963   | 15.1218 |
| 0.1531        | 2.0   | 5142  | 0.1413          | 94.2879 | 89.9026 | 93.6752 | 93.7059   | 15.0332 |
| 0.1347        | 3.0   | 7713  | 0.1263          | 94.2554 | 90.1846 | 93.726  | 93.7635   | 15.0369 |
| 0.142         | 4.0   | 10284 | 0.1221          | 93.9996 | 89.632  | 93.4347 | 93.4442   | 15.0185 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1