Classification_HF_NLP_Ch4_Review_to_Condition
This model is a fine-tuned version of mses-bly/Classification_HF_NLP_Ch4_Review_to_Condition on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3295
- Accuracy: 0.7082
- F1: 0.6847
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.96 | 1.0 | 20687 | 1.3295 | 0.7082 | 0.6847 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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