metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: mt5-small-amrit-finetuned-amazon-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
args: en
metrics:
- name: Rouge1
type: rouge
value: 15.4603
mt5-small-amrit-finetuned-amazon-en
This model is a fine-tuned version of google/mt5-small on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 3.3112
- Rouge1: 15.4603
- Rouge2: 7.1882
- Rougel: 15.2221
- Rougelsum: 15.1231
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 8.7422 | 1.0 | 771 | 3.6517 | 12.9002 | 4.8601 | 12.6743 | 12.6561 |
| 4.1322 | 2.0 | 1542 | 3.4937 | 14.1146 | 6.5433 | 14.0882 | 14.0484 |
| 3.7426 | 3.0 | 2313 | 3.4070 | 14.4797 | 6.8527 | 14.1544 | 14.2753 |
| 3.5743 | 4.0 | 3084 | 3.3439 | 15.9805 | 7.8873 | 15.4935 | 15.41 |
| 3.4489 | 5.0 | 3855 | 3.3122 | 16.5749 | 7.9809 | 16.1922 | 16.1226 |
| 3.3602 | 6.0 | 4626 | 3.3187 | 16.4809 | 7.7656 | 16.211 | 16.1185 |
| 3.3215 | 7.0 | 5397 | 3.3180 | 15.4615 | 7.1361 | 15.1919 | 15.1144 |
| 3.294 | 8.0 | 6168 | 3.3112 | 15.4603 | 7.1882 | 15.2221 | 15.1231 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1