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--- |
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license: apache-2.0 |
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base_model: albert-base-v2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad |
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model-index: |
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- name: cs4248_albert-base-v2_bilstm_qa |
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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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# cs4248_albert-base-v2_bilstm_qa |
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co./albert-base-v2) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.9086 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 4248 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.4082 | 1.0 | 500 | 4.4031 | |
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| 3.951 | 2.0 | 1000 | 4.3329 | |
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| 3.6099 | 3.0 | 1500 | 4.3608 | |
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| 3.3651 | 4.0 | 2000 | 4.4929 | |
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| 3.0356 | 5.0 | 2500 | 4.5390 | |
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| 2.8111 | 6.0 | 3000 | 4.7661 | |
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| 2.5587 | 7.0 | 3500 | 4.8550 | |
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| 2.4021 | 8.0 | 4000 | 4.9086 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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