@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4011
- Macro f1: 0.3527
- Weighted f1: 0.6956
- Accuracy: 0.7177
- Balanced accuracy: 0.3299
- Loss: 1.4194
- Macro f1: 0.3364
- Weighted f1: 0.6725
- Accuracy: 0.6804
- Balanced accuracy: 0.3323
## Model description
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@@ -39,9 +39,9 @@ More information needed
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- learning_rate: 2e-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
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@@ -52,26 +52,26 @@ The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Macro f1 | Weighted f1 | Accuracy | Balanced accuracy |
