| | ---
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| | library_name: transformers
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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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| | model-index:
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| | - name: squadsciencemodeling
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| | results: []
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| | ---
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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
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # squadsciencemodeling
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| |
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| | This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: nan
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 5e-05
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| | - train_batch_size: 8
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| | - eval_batch_size: 8
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| | - seed: 42
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| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: linear
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| | - num_epochs: 5
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss |
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| | |:-------------:|:-----:|:-----:|:---------------:|
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| | | 8.8412 | 1.0 | 2000 | nan |
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| | | 8.3313 | 2.0 | 4000 | nan |
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| | | 8.5025 | 3.0 | 6000 | nan |
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| | | 8.0306 | 4.0 | 8000 | nan |
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| | | 8.2097 | 5.0 | 10000 | nan |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.46.3
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| | - Pytorch 1.12.1+cu113
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| | - Datasets 3.1.0
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| | - Tokenizers 0.20.3
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| |
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