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Traductor-Es-Ru
DrOstrich/Traductor-Es-Ru
Traductor-Es-Ru is a machine learning model from DrOstrich. 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 11, 2023
- Updated
- Dec 11, 2023
- SHA
- 6719690c
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. -->
final_chatbots
This model is a fine-tuned version of t5-small on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 2.2045
- Bleu: 0.0239
- Gen Len: 18.5674
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6597 | 1.0 | 840 | 2.3164 | 0.0103 | 18.5874 |
| 2.4448 | 2.0 | 1680 | 2.2456 | 0.0204 | 18.5561 |
| 2.3915 | 3.0 | 2520 | 2.2133 | 0.0208 | 18.5725 |
| 2.3785 | 4.0 | 3360 | 2.2045 | 0.0239 | 18.5674 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 11, 2023
- Updated
- Dec 11, 2023