transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_recommendation_sports_equipment_english
  results: []
---

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# 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: 0.3614
- Rouge1: 63.8331
- Rouge2: 0.0
- Rougel: 63.8135
- Rougelsum: 63.8922
- Gen Len: 3.0177

## 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    | 7.0341          | 41.3666 | 0.0    | 41.2761 | 41.3863   | 3.4923  |
| No log        | 1.96  | 12   | 2.9883          | 40.7910 | 0.0    | 40.6533 | 40.7615   | 3.0248  |
| No log        | 2.96  | 18   | 0.7740          | 40.7320 | 0.0    | 40.6139 | 40.7320   | 3.0094  |
| No log        | 3.96  | 24   | 0.6257          | 59.8583 | 0.0    | 59.8583 | 59.8583   | 3.0     |
| No log        | 4.96  | 30   | 0.6243          | 59.8583 | 0.0    | 59.8583 | 59.8583   | 3.0     |
| No log        | 5.96  | 36   | 0.4635          | 60.0945 | 0.0    | 59.9764 | 60.0945   | 3.0035  |
| No log        | 6.96  | 42   | 0.3732          | 58.2841 | 0.0    | 58.1267 | 58.3038   | 3.1606  |
| No log        | 7.96  | 48   | 0.3615          | 60.6749 | 0.0    | 60.5667 | 60.6848   | 3.0767  |
| No log        | 8.96  | 54   | 0.3673          | 61.3144 | 0.0    | 61.1177 | 61.2948   | 3.0260  |
| No log        | 9.96  | 60   | 0.3614          | 63.8331 | 0.0    | 63.8135 | 63.8922   | 3.0177  |


### Framework versions

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