|
--- |
|
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 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# mt5-small-amrit-finetuned-amazon-en |
|
|
|
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/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 |
|
|
