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Browse files- README.md +81 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: csarron/mobilebert-uncased-squad-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: mobilebert-uncased-squad-v2-16-11-2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mobilebert-uncased-squad-v2-16-11-2
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This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v2](https://huggingface.co/csarron/mobilebert-uncased-squad-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 16.1284
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| No log | 1.0 | 489 | 2.6193 |
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| 1.4634 | 2.0 | 978 | 3.0847 |
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| 1.2884 | 3.0 | 1467 | 3.2589 |
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| 1.1511 | 4.0 | 1956 | 3.9182 |
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| 1.0809 | 5.0 | 2445 | 3.7122 |
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| 1.008 | 6.0 | 2934 | 4.5737 |
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| 0.9048 | 7.0 | 3423 | 5.2430 |
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| 0.7411 | 8.0 | 3912 | 5.4474 |
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| 0.6668 | 9.0 | 4401 | 5.9275 |
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| 0.557 | 10.0 | 4890 | 7.8979 |
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| 0.4912 | 11.0 | 5379 | 7.8582 |
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| 0.409 | 12.0 | 5868 | 8.1236 |
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| 0.3293 | 13.0 | 6357 | 9.7170 |
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| 0.3408 | 14.0 | 6846 | 10.1125 |
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| 0.2514 | 15.0 | 7335 | 10.8043 |
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| 0.2042 | 16.0 | 7824 | 11.1361 |
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| 0.201 | 17.0 | 8313 | 12.5571 |
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| 0.1846 | 18.0 | 8802 | 13.4892 |
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| 0.1582 | 19.0 | 9291 | 13.4029 |
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| 0.1185 | 20.0 | 9780 | 14.8577 |
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| 0.1048 | 21.0 | 10269 | 15.3951 |
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| 0.1258 | 22.0 | 10758 | 15.3019 |
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| 0.0763 | 23.0 | 11247 | 15.5361 |
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| 0.0684 | 24.0 | 11736 | 15.8837 |
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| 0.0667 | 25.0 | 12225 | 16.1284 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 98470136
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed1956e8898a2471da635bea845e4b45c9b4bba8b892a54f17c610867b9b77f0
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size 98470136
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