shipping_qa_model_29_04_24
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: 4.9818
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 28 | 5.6661 |
| No log | 2.0 | 56 | 5.3693 |
| No log | 3.0 | 84 | 5.2166 |
| No log | 4.0 | 112 | 5.1823 |
| No log | 5.0 | 140 | 5.1586 |
| No log | 6.0 | 168 | 5.1086 |
| No log | 7.0 | 196 | 5.0692 |
| No log | 8.0 | 224 | 5.0256 |
| No log | 9.0 | 252 | 4.9902 |
| No log | 10.0 | 280 | 4.9818 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for SurajSphinx/shipping_qa_model_29_04_24
Base model
distilbert/distilbert-base-uncased