distilbert_beekeeping_QandA_model
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1106
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | 54 | 0.4174 |
| No log | 2.0 | 108 | 0.1275 |
| No log | 3.0 | 162 | 0.1516 |
| No log | 4.0 | 216 | 0.1016 |
| No log | 5.0 | 270 | 0.1128 |
| No log | 6.0 | 324 | 0.1058 |
| No log | 7.0 | 378 | 0.0903 |
| No log | 8.0 | 432 | 0.1027 |
| No log | 9.0 | 486 | 0.1285 |
| 0.369 | 10.0 | 540 | 0.1211 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for juman48/distilbert_beekeeping_QandA_model
Base model
distilbert/distilbert-base-uncased