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10pos_model
jvalline/10pos_model
10pos_model is a machine learning model from jvalline. 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
- Mar 12, 2024
- Updated
- Mar 13, 2024
- SHA
- ae4e1789
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. -->
10pos_model
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3032
- Bleu: 0.0001
- Wer: 0.9323
- Rougel: 0.1628
- Gen Len: 18.9983
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Wer | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| 0.8158 | 0.16 | 1000 | 0.3327 | 0.0001 | 0.933 | 0.1616 | 18.999 |
| 0.3791 | 0.32 | 2000 | 0.3029 | 0.0001 | 0.9326 | 0.1623 | 18.9988 |
| 0.3536 | 0.48 | 3000 | 0.2901 | 0.0001 | 0.9325 | 0.1624 | 18.9988 |
| 0.3353 | 0.64 | 4000 | 0.2822 | 0.0001 | 0.9324 | 0.1626 | 18.9987 |
| 0.3333 | 0.8 | 5000 | 0.2774 | 0.0001 | 0.9323 | 0.1627 | 18.9987 |
| 0.3258 | 0.96 | 6000 | 0.2742 | 0.0001 | 0.9322 | 0.1627 | 18.9987 |
| 0.3267 | 1.12 | 7000 | 0.2811 | 0.0001 | 0.9323 | 0.1627 | 18.9984 |
| 0.3532 | 1.28 | 8000 | 0.2960 | 0.0001 | 0.9322 | 0.1629 | 18.9983 |
| 0.3859 | 1.44 | 9000 | 0.3083 | 0.0001 | 0.9323 | 0.1629 | 18.9983 |
| 0.3867 | 1.6 | 10000 | 0.3054 | 0.0001 | 0.9323 | 0.1628 | 18.9983 |
| 0.3807 | 1.76 | 11000 | 0.3038 | 0.0001 | 0.9323 | 0.1628 | 18.9983 |
| 0.3807 | 1.92 | 12000 | 0.3032 | 0.0001 | 0.9323 | 0.1628 | 18.9983 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.3.0.dev20240122+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 12, 2024
- Updated
- Mar 13, 2024