---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_recommendation_sports_equipment_english
  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_recommendation_sports_equipment_english

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4761
- Rouge1: 62.6984
- Rouge2: 52.3810
- Rougel: 62.6984
- Rougelsum: 62.2222
- Gen Len: 4.0952

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 0.96  | 6    | 6.6619          | 9.5321  | 2.0106  | 9.7341  | 9.6021    | 18.6190 |
| No log        | 1.96  | 12   | 2.5944          | 21.4286 | 9.5238  | 21.4286 | 21.4286   | 3.1429  |
| No log        | 2.96  | 18   | 0.8201          | 19.0476 | 9.5238  | 18.7302 | 18.5714   | 4.4762  |
| No log        | 3.96  | 24   | 0.5805          | 41.5873 | 23.8095 | 41.2698 | 41.5873   | 3.5714  |
| No log        | 4.96  | 30   | 0.5416          | 46.6667 | 38.0952 | 45.2381 | 45.5556   | 4.1429  |
| No log        | 5.96  | 36   | 0.6763          | 55.8730 | 42.8571 | 55.5556 | 55.3175   | 4.0476  |
| No log        | 6.96  | 42   | 0.7193          | 58.5714 | 47.6190 | 57.9365 | 57.4603   | 4.0476  |
| No log        | 7.96  | 48   | 0.5980          | 58.5714 | 47.6190 | 57.9365 | 57.4603   | 4.0     |
| No log        | 8.96  | 54   | 0.4943          | 62.6984 | 52.3810 | 62.6984 | 62.2222   | 4.0952  |
| No log        | 9.96  | 60   | 0.4761          | 62.6984 | 52.3810 | 62.6984 | 62.2222   | 4.0952  |


### Framework versions

- Transformers 4.26.0
- Pytorch 2.1.0+cu121
- Datasets 2.8.0
- Tokenizers 0.13.3