dzoQA_ml
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2318
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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 17 | 5.5030 |
| No log | 2.0 | 34 | 5.4155 |
| No log | 3.0 | 51 | 5.3362 |
| No log | 4.0 | 68 | 5.3240 |
| No log | 5.0 | 85 | 5.2659 |
| No log | 6.0 | 102 | 5.2410 |
| No log | 7.0 | 119 | 5.2223 |
| No log | 8.0 | 136 | 5.2406 |
| No log | 9.0 | 153 | 5.2318 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
distilbert/distilbert-base-uncased