Model
This model is a fine-tuned version of susnato/ernie-m-base_pytorch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6189
- F1: 0.9294
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2019 | 1.0 | 1500 | 0.1825 | 0.9304 |
| 0.1199 | 2.0 | 3000 | 0.3103 | 0.8986 |
| 0.085 | 3.0 | 4500 | 0.2546 | 0.9268 |
| 0.0516 | 4.0 | 6000 | 0.3140 | 0.9387 |
| 0.0281 | 5.0 | 7500 | 0.6603 | 0.9022 |
| 0.0142 | 6.0 | 9000 | 0.8612 | 0.8931 |
| 0.0068 | 7.0 | 10500 | 0.5700 | 0.9332 |
| 0.002 | 8.0 | 12000 | 0.6189 | 0.9294 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
susnato/ernie-m-base_pytorch