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dzoQA_tibet
Norphel/dzoQA_tibet
dzoQA_tibet is a question answering model from Norphel. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 15, 2024
- SHA
- bcb4d316
Try a prompt
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. -->
dzoQA_tibet
This model is a fine-tuned version of sangjeedondrub/tibetan-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7768
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 17 | 5.1251 |
| No log | 2.0 | 34 | 4.8563 |
| No log | 3.0 | 51 | 4.7984 |
| No log | 4.0 | 68 | 4.7833 |
| No log | 5.0 | 85 | 4.7768 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- dz
- Created
- May 12, 2024
- Updated
- May 15, 2024