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geez_t5-15k
Samuael/geez_t5-15k
geez_t5-15k is a machine learning model from Samuael. 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
- Mar 21, 2024
- Updated
- Apr 2, 2024
- SHA
- bc46ca0d
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. -->
geez_t5-15k
This model is a fine-tuned version of Samuael/geez_t5-15k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6541
- Wer: 0.2404
- Cer: 0.0668
- Bleu: 54.5297
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: 0.0002
- train_batch_size: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu |
|---|---|---|---|---|---|---|
| 0.0382 | 1.0 | 313 | 1.4979 | 0.2436 | 0.0667 | 55.2918 |
| 0.0411 | 2.0 | 626 | 1.5980 | 0.2419 | 0.0653 | 55.4560 |
| 0.0622 | 3.0 | 939 | 1.5221 | 0.2383 | 0.0683 | 55.5429 |
| 0.0505 | 4.0 | 1252 | 1.5719 | 0.2388 | 0.0662 | 55.6735 |
| 0.0517 | 5.0 | 1565 | 1.6251 | 0.2373 | 0.0666 | 55.7046 |
| 0.0396 | 6.0 | 1878 | 1.5978 | 0.2431 | 0.0680 | 54.5671 |
| 0.0512 | 7.0 | 2191 | 1.5677 | 0.2675 | 0.1019 | 54.3154 |
| 0.0655 | 8.0 | 2504 | 1.5891 | 0.2448 | 0.0676 | 54.6644 |
| 0.05 | 9.0 | 2817 | 1.5952 | 0.2470 | 0.0703 | 54.7796 |
| 0.0415 | 10.0 | 3130 | 1.6541 | 0.2404 | 0.0668 | 54.5297 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- Mar 21, 2024
- Updated
- Apr 2, 2024