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volk_assistant
opelumen/volk_assistant
volk_assistant is a machine learning model from opelumen. 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
- Feb 14, 2024
- Updated
- Feb 14, 2024
- SHA
- eff88eda
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. -->
volk_assistant
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0610
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
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: 0.0003
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 4 | 0.2216 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 8 | 0.1434 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 12 | 0.1166 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 16 | 0.0772 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 20 | 0.0732 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 6.0 | 24 | 0.0673 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 7.0 | 28 | 0.0663 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 8.0 | 32 | 0.0621 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 9.0 | 36 | 0.0610 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 10.0 | 40 | 0.0651 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 11.0 | 44 | 0.0696 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 12.0 | 48 | 0.0708 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 13.0 | 52 | 0.0762 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 14.0 | 56 | 0.0817 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 15.0 | 60 | 0.0828 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 16.0 | 64 | 0.0812 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 17.0 | 68 | 0.0794 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 18.0 | 72 | 0.0781 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 19.0 | 76 | 0.0770 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 20.0 | 80 | 0.0763 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024