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xlm-roberta-HeQ-v1
Etelis/xlm-roberta-HeQ-v1
xlm-roberta-HeQ-v1 is a question answering model from Etelis. 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
- xlm-roberta
- Access
- Public
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023
- SHA
- e7199a03
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. -->
xlm-roberta-HeQ-v1
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5099
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 425 | 1.3360 |
| 1.0299 | 2.0 | 850 | 1.3235 |
| 0.8198 | 3.0 | 1275 | 1.3101 |
| 0.7801 | 4.0 | 1700 | 1.3679 |
| 0.6767 | 5.0 | 2125 | 1.4158 |
| 0.5853 | 6.0 | 2550 | 1.4657 |
| 0.5853 | 7.0 | 2975 | 1.5099 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023