Downloads · 30 days
11
3% of all-time downloads
MLEAFIT_es2ptT5
jdmartinev/MLEAFIT_es2ptT5
MLEAFIT_es2ptT5 is a machine learning model from jdmartinev. 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
385
Public
Repo size
4.6 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin1.2 GB · 98%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Sep 7, 2023
- Updated
- Sep 30, 2023
- SHA
- b084d9d2
Base models
Datasets
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. -->
MLEAFIT_es2ptT5
This model is a fine-tuned version of t5-small on the tatoeba dataset. It achieves the following results on the evaluation set:
- Loss: 1.7472
- Bleu: 11.2994
- Gen Len: 15.8838
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6856 | 1.0 | 858 | 1.9674 | 8.9672 | 15.7279 |
| 2.1422 | 2.0 | 1716 | 1.7900 | 10.7687 | 15.8897 |
| 2.0298 | 3.0 | 2574 | 1.7472 | 11.2994 | 15.8838 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Sep 7, 2023
- Updated
- Sep 30, 2023