Downloads · 30 days
8
3% of all-time downloads
mt5-small-finetuned-amazon-en-es
mchalek/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from mchalek. 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
282
Public
Repo size
14.4 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 16, 2023
- Updated
- Feb 17, 2023
- SHA
- 178db7d5
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: 2.8106
- Rouge1: 17.9738
- Rouge2: 9.4344
- Rougel: 17.2333
- Rougelsum: 17.1247
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 |
|---|---|---|---|---|---|---|---|
| 8.2948 | 1.0 | 611 | 3.1808 | 12.5576 | 5.9735 | 12.2175 | 12.2816 |
| 4.2676 | 2.0 | 1222 | 2.9768 | 16.9344 | 7.9443 | 16.2818 | 16.3308 |
| 3.8378 | 3.0 | 1833 | 2.8996 | 16.7694 | 8.009 | 16.2782 | 16.2109 |
| 3.6049 | 4.0 | 2444 | 2.8848 | 17.6535 | 8.9245 | 16.9455 | 16.8767 |
| 3.4589 | 5.0 | 3055 | 2.8488 | 17.4123 | 8.9396 | 16.7886 | 16.6109 |
| 3.3725 | 6.0 | 3666 | 2.8191 | 17.5675 | 9.0082 | 16.8443 | 16.6345 |
| 3.3259 | 7.0 | 4277 | 2.8184 | 18.012 | 9.4448 | 17.2561 | 17.1563 |
| 3.29 | 8.0 | 4888 | 2.8106 | 17.9738 | 9.4344 | 17.2333 | 17.1247 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.1+cu102
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 16, 2023
- Updated
- Feb 17, 2023