my_awesome_model_4
This model is a fine-tuned version of gavinqiangli/my_awesome_model_3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3410
- Accuracy: 0.942
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1355 | 1.0 | 1000 | 0.2157 | 0.9275 |
| 0.131 | 2.0 | 2000 | 0.1944 | 0.935 |
| 0.0973 | 3.0 | 3000 | 0.2334 | 0.9375 |
| 0.0725 | 4.0 | 4000 | 0.2557 | 0.9395 |
| 0.0422 | 5.0 | 5000 | 0.3158 | 0.94 |
| 0.0352 | 6.0 | 6000 | 0.3389 | 0.943 |
| 0.0188 | 7.0 | 7000 | 0.3446 | 0.94 |
| 0.0123 | 8.0 | 8000 | 0.3410 | 0.942 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Model tree for gavinqiangli/my_awesome_model_4
Base model
distilbert/distilbert-base-uncased
Finetuned
gavinqiangli/my_awesome_model_3