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percobaan_cnnlstm
tyavika/percobaan_cnnlstm
percobaan_cnnlstm is a question answering model from tyavika. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jun 25, 2023
- Updated
- Jun 27, 2023
- SHA
- 9f01725b
Try a prompt
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. -->
percobaan_cnnlstm
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5066
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: 3e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.9961 | 1.0 | 756 | 4.4533 |
| 4.2209 | 2.0 | 1512 | 4.3710 |
| 3.861 | 3.0 | 2268 | 4.5066 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- Created
- Jun 25, 2023
- Updated
- Jun 27, 2023