Downloads · 30 days
6
2% of all-time downloads
mt5-small-finetuned-amazon-en-es
alibidaran/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from alibidaran. 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
290
Public
Repo size
20.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.2 GB · 98%
At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Feb 11, 2023
- Updated
- Feb 12, 2023
- SHA
- fdb55c48
Try a prompt
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: 3.0300
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 |
|---|---|---|---|
| 6.6964 | 1.0 | 1209 | 3.3036 |
| 3.9031 | 2.0 | 2418 | 3.1324 |
| 3.5802 | 3.0 | 3627 | 3.0846 |
| 3.4212 | 4.0 | 4836 | 3.0613 |
| 3.3216 | 5.0 | 6045 | 3.0606 |
| 3.2427 | 6.0 | 7254 | 3.0392 |
| 3.2081 | 7.0 | 8463 | 3.0344 |
| 3.1806 | 8.0 | 9672 | 3.0300 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 11, 2023
- Updated
- Feb 12, 2023