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opus_books_es_pt
oSabre/opus_books_es_pt
opus_books_es_pt is a machine learning model from oSabre. 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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 17, 2023
- Updated
- Dec 17, 2023
- SHA
- 698cc80b
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. -->
opus_books_es_pt
This model is a fine-tuned version of t5-base on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 2.0763
- Bleu: 1.2169
- Gen Len: 18.5038
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: 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 133 | 2.5227 | 0.5795 | 18.5789 |
| No log | 2.0 | 266 | 2.3918 | 0.6703 | 18.5451 |
| No log | 3.0 | 399 | 2.3166 | 0.8471 | 18.5301 |
| 2.6664 | 4.0 | 532 | 2.2665 | 0.8914 | 18.4737 |
| 2.6664 | 5.0 | 665 | 2.2319 | 0.928 | 18.4549 |
| 2.6664 | 6.0 | 798 | 2.2025 | 1.0067 | 18.5113 |
| 2.6664 | 7.0 | 931 | 2.1784 | 1.0162 | 18.515 |
| 2.2503 | 8.0 | 1064 | 2.1580 | 1.1102 | 18.5113 |
| 2.2503 | 9.0 | 1197 | 2.1420 | 1.0638 | 18.515 |
| 2.2503 | 10.0 | 1330 | 2.1257 | 1.1149 | 18.5113 |
| 2.2503 | 11.0 | 1463 | 2.1142 | 1.1334 | 18.4474 |
| 2.1172 | 12.0 | 1596 | 2.1091 | 1.1308 | 18.4925 |
| 2.1172 | 13.0 | 1729 | 2.0980 | 1.1655 | 18.5075 |
| 2.1172 | 14.0 | 1862 | 2.0950 | 1.1464 | 18.4925 |
| 2.1172 | 15.0 | 1995 | 2.0890 | 1.1383 | 18.5038 |
| 2.0185 | 16.0 | 2128 | 2.0833 | 1.1671 | 18.5 |
| 2.0185 | 17.0 | 2261 | 2.0806 | 1.1555 | 18.5038 |
| 2.0185 | 18.0 | 2394 | 2.0777 | 1.15 | 18.5113 |
| 1.9882 | 19.0 | 2527 | 2.0770 | 1.2252 | 18.5113 |
| 1.9882 | 20.0 | 2660 | 2.0763 | 1.2169 | 18.5038 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 17, 2023
- Updated
- Dec 17, 2023