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RULEC_PUNCT
mika5883/RULEC_PUNCT
RULEC_PUNCT is a machine learning model from mika5883. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- May 26, 2024
- Updated
- May 26, 2024
- SHA
- 4f6b29af
Base models
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. -->
RULEC_PUNCT
This model is a fine-tuned version of mika5883/Pretrained_ReCl8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2246
- Bleu: 87.7841
- Gen Len: 23.4204
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: 3.83229e-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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 47 | 0.1715 | 90.2127 | 23.5376 |
| No log | 2.0 | 94 | 0.1579 | 90.6111 | 23.5388 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- May 26, 2024
- Updated
- May 26, 2024