llama_hw_0817
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8514
- Matthews Correlation: 0.5338
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
---|---|---|---|---|
0.5177 | 1.0 | 535 | 0.4538 | 0.4414 |
0.3464 | 2.0 | 1070 | 0.4767 | 0.4929 |
0.2338 | 3.0 | 1605 | 0.6392 | 0.5073 |
0.1729 | 4.0 | 2140 | 0.8508 | 0.5126 |
0.1294 | 5.0 | 2675 | 0.8514 | 0.5338 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for LINGWAN/llama_hw_0817
Base model
distilbert/distilbert-base-uncased