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mt5-small-finetuned-amazon-en-es
phuongntc/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a machine learning model from phuongntc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024
- SHA
- 9d3b8650
Base models
Model card
From the Hugging Face model README
<!-- 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-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9244
- Rouge1: 0.5412
- Rouge2: 0.3832
- Rougel: 0.4817
- Rougelsum: 0.4830
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 |
|---|---|---|---|---|---|---|---|
| 1.5355 | 1.0 | 813 | 1.1694 | 0.4857 | 0.2942 | 0.4036 | 0.4050 |
| 1.4589 | 2.0 | 1626 | 1.0231 | 0.5091 | 0.3331 | 0.4400 | 0.4410 |
| 1.3205 | 3.0 | 2439 | 1.0102 | 0.5346 | 0.3690 | 0.4722 | 0.4724 |
| 1.2304 | 4.0 | 3252 | 0.9553 | 0.5380 | 0.3732 | 0.4732 | 0.4740 |
| 1.1681 | 5.0 | 4065 | 0.9355 | 0.5409 | 0.3735 | 0.4733 | 0.4744 |
| 1.1245 | 6.0 | 4878 | 0.9136 | 0.5408 | 0.3770 | 0.4775 | 0.4787 |
| 1.1014 | 7.0 | 5691 | 0.9161 | 0.5430 | 0.3816 | 0.4814 | 0.4828 |
| 1.0824 | 8.0 | 6504 | 0.9244 | 0.5412 | 0.3832 | 0.4817 | 0.4830 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024