---
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: 0.4517
- Rouge1: 57.1429
- Rouge2: 47.6190
- Rougel: 56.9841
- Rougelsum: 56.9841
- Gen Len: 3.9048

## 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    | 6.7882          | 8.8278  | 0.9524  | 8.8278  | 8.7668    | 19.0    |
| No log        | 1.96  | 12   | 2.3412          | 18.0952 | 0.0     | 18.0952 | 18.0952   | 3.2381  |
| No log        | 2.96  | 18   | 0.8550          | 11.9048 | 4.7619  | 11.9048 | 11.9048   | 4.0     |
| No log        | 3.96  | 24   | 0.7481          | 32.0635 | 4.7619  | 32.0635 | 32.3810   | 3.9048  |
| No log        | 4.96  | 30   | 0.7208          | 21.2698 | 4.7619  | 20.7937 | 20.7937   | 3.6190  |
| No log        | 5.96  | 36   | 0.6293          | 31.7460 | 23.8095 | 30.9524 | 30.9524   | 3.6667  |
| No log        | 6.96  | 42   | 0.6203          | 43.1746 | 33.3333 | 42.6984 | 43.0159   | 3.9048  |
| No log        | 7.96  | 48   | 0.6352          | 47.6190 | 33.3333 | 47.6190 | 47.6190   | 3.8095  |
| No log        | 8.96  | 54   | 0.5334          | 52.6984 | 42.8571 | 52.6190 | 52.3810   | 3.9524  |
| No log        | 9.96  | 60   | 0.4517          | 57.1429 | 47.6190 | 56.9841 | 56.9841   | 3.9048  |


### Framework versions

- Transformers 4.26.0
- Pytorch 2.3.0+cu121
- Datasets 2.8.0
- Tokenizers 0.13.3