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qaharoldv1
hr-wesbeaver/qaharoldv1
qaharoldv1 is a machine learning model from hr-wesbeaver. 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
- Apr 7, 2024
- Updated
- Apr 7, 2024
- SHA
- 30037cd7
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. -->
qaharoldv1
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1674
- Rouge1: 0.9279
- Rouge2: 0.8593
- Rougel: 0.9205
- Gen Len: 70.0435
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: 0.0004
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| No log | 0.76 | 100 | 0.2700 | 0.8771 | 0.7606 | 0.8652 | 70.0435 |
| No log | 1.52 | 200 | 0.2165 | 0.9031 | 0.8152 | 0.895 | 70.0435 |
| No log | 2.27 | 300 | 0.2012 | 0.905 | 0.818 | 0.8978 | 70.0435 |
| No log | 3.03 | 400 | 0.1828 | 0.9113 | 0.8278 | 0.9027 | 70.0435 |
| No log | 3.79 | 500 | 0.1774 | 0.9095 | 0.8246 | 0.9013 | 70.0435 |
| No log | 4.55 | 600 | 0.1732 | 0.9145 | 0.8371 | 0.9084 | 70.0435 |
| No log | 5.3 | 700 | 0.1654 | 0.9177 | 0.8423 | 0.9101 | 70.0435 |
| No log | 6.06 | 800 | 0.1694 | 0.9187 | 0.8397 | 0.9115 | 70.0435 |
| No log | 6.82 | 900 | 0.1690 | 0.92 | 0.8467 | 0.913 | 70.0435 |
| No log | 7.58 | 1000 | 0.1674 | 0.9198 | 0.846 | 0.9129 | 70.0435 |
| No log | 8.33 | 1100 | 0.1664 | 0.9262 | 0.8552 | 0.919 | 70.0435 |
| No log | 9.09 | 1200 | 0.1682 | 0.9267 | 0.8568 | 0.9195 | 70.0435 |
| No log | 9.85 | 1300 | 0.1674 | 0.9279 | 0.8593 | 0.9205 | 70.0435 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024