bert-base-uncased-fibe-final
This model is a fine-tuned version of pilotj/bert-base-uncased-fibe-v3 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3655
- eval_runtime: 111.3303
- eval_samples_per_second: 234.896
- eval_steps_per_second: 3.674
- epoch: 1.0030
- step: 10500
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Framework versions
- Transformers 4.45.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.20.0
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