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albert-large-v2-spoken-squad
AshtonIsNotHere/albert-large-v2-spoken-squad
albert-large-v2-spoken-squad is a question answering model from AshtonIsNotHere. Use it when the input is a question plus a passage. 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
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Apr 4, 2023
- Updated
- Apr 6, 2023
- SHA
- c89d8abb
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. -->
albert-large-v2-spoken-squad
This model is a fine-tuned version of albert-large-v2 on the Spoken Squad dataset. It achieves the following results on the evaluation set:
- Exact Match: 66.7026
- F1: 79.3491
- Loss: 1.0481
Model description
Results on Spoken Squad Test Sets
| Test Set | Test Loss | Samples | Exact Match | F1 |
|---|---|---|---|---|
| Test | 1.183 | 5351 | 71.2951 | 80.4348 |
| Test WER44 | 6.2158 | 5351 | 45.9727 | 60.8491 |
| Test WER54 | 6.2158 | 5351 | 45.9727 | 60.8491 |
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Exact Match | F1 | Validation Loss |
|---|---|---|---|---|---|
| 1.0444 | 1.0 | 2088 | 63.6584 | 77.0975 | 1.0645 |
| 0.8017 | 2.0 | 4176 | 66.3524 | 79.3253 | 0.9756 |
| 0.5426 | 3.0 | 6264 | 66.7026 | 79.3491 | 1.0481 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.11.0
- Task
- Question Answering
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Apr 4, 2023
- Updated
- Apr 6, 2023