exp_number0
This model is a fine-tuned version of bayesian4042/bert_finetuned_resume on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3488
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3968 | 1.0 | 208 | 0.5322 |
| 0.476 | 2.0 | 416 | 0.3813 |
| 0.3421 | 3.0 | 624 | 0.3777 |
| 0.2195 | 4.0 | 832 | 0.3807 |
| 0.3476 | 5.0 | 1040 | 0.3488 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for classicakeza5/exp_number0
Base model
distilbert/distilbert-base-uncased
Finetuned
bayesian4042/bert_finetuned_resume