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speller-t5-909
summervent/speller-t5-909
speller-t5-909 is a machine learning model from summervent. 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
- Feb 7, 2023
- Updated
- Feb 8, 2023
- SHA
- 181eba1a
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. -->
speller-t5-909
This model is a fine-tuned version of sberbank-ai/ruT5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0814
- Rouge1: 18.2203
- Rouge2: 5.9322
- Rougel: 17.7966
- Rougelsum: 18.2203
- Gen Len: 42.0424
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: 5e-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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3022 | 0.1 | 1500 | 0.1563 | 18.2203 | 5.9322 | 17.7966 | 18.2203 | 43.4492 |
| 0.2274 | 0.2 | 3000 | 0.1311 | 18.2203 | 5.9322 | 17.7966 | 18.2203 | 42.3814 |
| 0.2001 | 0.31 | 4500 | 0.1128 | 18.2203 | 5.9322 | 17.7966 | 18.2203 | 41.9407 |
| 0.1757 | 0.41 | 6000 | 0.1063 | 18.2203 | 5.9322 | 17.7966 | 18.2203 | 42.2542 |
| 0.1612 | 0.51 | 7500 | 0.1002 | 17.9379 | 5.0847 | 17.5141 | 17.7966 | 42.339 |
| 0.1718 | 0.61 | 9000 | 0.0921 | 18.2203 | 5.9322 | 17.7966 | 18.2203 | 42.0508 |
| 0.1678 | 0.72 | 10500 | 0.0834 | 17.7966 | 5.0847 | 17.3729 | 17.7966 | 41.9831 |
| 0.1407 | 0.82 | 12000 | 0.0793 | 18.2203 | 5.9322 | 17.7966 | 18.2203 | 42.2119 |
| 0.1447 | 0.92 | 13500 | 0.0814 | 18.2203 | 5.9322 | 17.7966 | 18.2203 | 42.0424 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- Created
- Feb 7, 2023
- Updated
- Feb 8, 2023