Bart-salary-pred
This model is a fine-tuned version of tinh2312/Bart-salary-pred on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2507
- eval_runtime: 125.0224
- eval_samples_per_second: 157.524
- eval_steps_per_second: 4.927
- epoch: 8.7121
- step: 2300
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.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: 100
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
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