Downloads · 30 days
3
7% of all-time downloads
mt5-small-finetuned-1000data-1ep-Lp6
Ryandro/mt5-small-finetuned-1000data-1ep-Lp6
mt5-small-finetuned-1000data-1ep-Lp6 is a machine learning model from Ryandro. 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. --
All-time downloads
43
Public
Parameters
300M
1.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 98%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Sep 19, 2025
- Updated
- Sep 19, 2025
- SHA
- 34e69723
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-1000data-1ep-Lp6
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: 1.9328
- Rouge1: 16.9385
- Rouge2: 8.6571
- Rougel: 15.1623
- Rougelsum: 15.9462
- Gen Len: 18.915
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: 2e-05
- train_batch_size: 3
- eval_batch_size: 3
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.5967 | 1.0 | 1200 | 2.0893 | 14.7277 | 7.2581 | 13.3751 | 13.8673 | 17.6175 |
| 2.9383 | 2.0 | 2400 | 1.9546 | 16.2063 | 8.2388 | 14.5473 | 15.1817 | 18.81 |
| 2.7315 | 3.0 | 3600 | 1.9328 | 16.9385 | 8.6571 | 15.1623 | 15.9462 | 18.915 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.1.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Sep 19, 2025
- Updated
- Sep 19, 2025