Downloads · 30 days
8
7% of all-time downloads
mt5-small-finetuned-amazon-en-es
susuahi/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from susuahi. Use it when you need a shorter version of a longer text. 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. --
All-time downloads
117
Public
Parameters
300M
26.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 98%
At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jan 7, 2026
- Updated
- Jan 7, 2026
- SHA
- 1a625e5e
Try a prompt
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: 3.0253
- Rouge1: 16.8311
- Rouge2: 8.3984
- Rougel: 16.5907
- Rougelsum: 16.4502
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.8823 | 1.0 | 1209 | 3.1692 | 16.7942 | 8.8845 | 16.2074 | 16.1565 |
| 3.5477 | 2.0 | 2418 | 3.0972 | 17.8143 | 9.0129 | 17.3397 | 17.2233 |
| 3.3697 | 3.0 | 3627 | 3.0647 | 16.1625 | 7.6303 | 15.8452 | 15.8262 |
| 3.265 | 4.0 | 4836 | 3.0604 | 16.6999 | 8.2476 | 16.4754 | 16.2985 |
| 3.1856 | 5.0 | 6045 | 3.0429 | 16.3401 | 7.7399 | 16.0389 | 15.8367 |
| 3.1291 | 6.0 | 7254 | 3.0369 | 17.2926 | 8.604 | 16.8836 | 16.7412 |
| 3.0953 | 7.0 | 8463 | 3.0254 | 17.3864 | 8.538 | 17.0815 | 16.9494 |
| 3.067 | 8.0 | 9672 | 3.0253 | 16.8311 | 8.3984 | 16.5907 | 16.4502 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 2.18.0
- Tokenizers 0.22.1
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jan 7, 2026
- Updated
- Jan 7, 2026