finetune_distilbert
This model is a fine-tuned version of KienLe21/demo_qa_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7024
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 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: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 50 | 0.7237 |
No log | 2.0 | 100 | 0.7118 |
No log | 3.0 | 150 | 0.7024 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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Model tree for KienLe21/finetune_distilbert
Base model
distilbert/distilbert-base-uncased
Finetuned
KienLe21/demo_qa_model