transformers pytorch tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-large license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-large
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: 0.4968
- Rouge1: 69.8413
- Rouge2: 61.9048
- Rougel: 69.8413
- Rougelsum: 70.2381
- Gen Len: 4.2381

## 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    | 7.0208          | 13.5224 | 1.8519  | 13.7870 | 13.5032   | 18.7143 |
| No log        | 1.92  | 12   | 1.8113          | 20.4762 | 14.2857 | 20.4762 | 20.9524   | 3.6667  |
| No log        | 2.88  | 18   | 0.7760          | 23.8095 | 4.7619  | 23.3333 | 23.3333   | 4.1429  |
| No log        | 4.0   | 25   | 0.5784          | 38.4127 | 23.8095 | 38.8889 | 39.9206   | 4.0476  |
| No log        | 4.96  | 31   | 0.5181          | 54.1270 | 42.8571 | 54.8413 | 54.6825   | 3.9524  |
| No log        | 5.92  | 37   | 0.4786          | 62.6984 | 52.3810 | 62.6984 | 62.6984   | 3.9048  |
| No log        | 6.88  | 43   | 0.4605          | 64.2857 | 52.3810 | 64.6032 | 64.6032   | 4.2857  |
| No log        | 8.0   | 50   | 0.6243          | 67.4603 | 57.1429 | 67.4603 | 67.4603   | 4.3810  |
| No log        | 8.96  | 56   | 0.5484          | 64.2857 | 57.1429 | 65.0794 | 65.0794   | 4.1429  |
| No log        | 9.6   | 60   | 0.4968          | 69.8413 | 61.9048 | 69.8413 | 70.2381   | 4.2381  |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
