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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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# albert-base-v2-finetuned-squad
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This model
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## Model description
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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:
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- eval_batch_size:
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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: 3
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### Framework versions
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- Transformers 4.12.3
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- Pytorch 1.
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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# albert-base-v2-finetuned-squad
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9492
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## Model description
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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: 16
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- eval_batch_size: 16
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.8695 | 1.0 | 8248 | 0.8813 |
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| 0.6333 | 2.0 | 16496 | 0.8042 |
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| 0.4372 | 3.0 | 24744 | 0.9492 |
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### Framework versions
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- Transformers 4.12.3
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- Pytorch 1.7.1
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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