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Neurixa_from_Ixambert
neuria99/Neurixa_from_Ixambert
Neurixa_from_Ixambert is a question answering model from neuria99. 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
- bert
- Access
- Public
- Created
- Jun 24, 2024
- Updated
- Jun 24, 2024
- SHA
- 19d4d6a0
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. -->
Neurixa_From_Ixambert-finetuned-squad-eu
This model is a fine-tuned version of MarcBrun/ixambert-finetuned-squad-eu on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2018
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 4.4728 |
| No log | 2.0 | 12 | 3.3750 |
| No log | 3.0 | 18 | 2.5127 |
| No log | 4.0 | 24 | 1.8246 |
| No log | 5.0 | 30 | 1.3675 |
| No log | 6.0 | 36 | 0.9409 |
| No log | 7.0 | 42 | 0.6393 |
| No log | 8.0 | 48 | 0.4733 |
| No log | 9.0 | 54 | 0.3724 |
| No log | 10.0 | 60 | 0.3093 |
| No log | 11.0 | 66 | 0.2644 |
| No log | 12.0 | 72 | 0.2407 |
| No log | 13.0 | 78 | 0.2161 |
| No log | 14.0 | 84 | 0.2041 |
| No log | 15.0 | 90 | 0.2018 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0
- Datasets 2.19.2
- Tokenizers 0.15.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Jun 24, 2024
- Updated
- Jun 24, 2024