squadsciencemodeling
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
Model description
More information needed
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.8412 | 1.0 | 2000 | nan |
| 8.3313 | 2.0 | 4000 | nan |
| 8.5025 | 3.0 | 6000 | nan |
| 8.0306 | 4.0 | 8000 | nan |
| 8.2097 | 5.0 | 10000 | nan |
Framework versions
- Transformers 4.46.3
- Pytorch 1.12.1+cu113
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for cphienanda/squadsciencemodeling
Base model
albert/albert-base-v2