metadata
base_model: MiMe-MeMo/MeMo-BERT-03
tags:
- generated_from_trainer
model-index:
- name: Noise_MeMo_BERT-3_02
results: []
Noise_MeMo_BERT-3_02
This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-03 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0729
- F1-score: 0.6452
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.095 | 1.0 | 915 | 0.0707 | 0.5373 |
| 0.0532 | 2.0 | 1830 | 0.0877 | 0.4286 |
| 0.0317 | 3.0 | 2745 | 0.0951 | 0.4889 |
| 0.0196 | 4.0 | 3660 | 0.1114 | 0.3590 |
| 0.0265 | 5.0 | 4575 | 0.0810 | 0.6333 |
| 0.0118 | 6.0 | 5490 | 0.1097 | 0.4783 |
| 0.0247 | 7.0 | 6405 | 0.1153 | 0.4583 |
| 0.0255 | 8.0 | 7320 | 0.0781 | 0.5634 |
| 0.0242 | 9.0 | 8235 | 0.1156 | 0.5455 |
| 0.0423 | 10.0 | 9150 | 0.1186 | 0.4 |
| 0.0246 | 11.0 | 10065 | 0.1057 | 0.5000 |
| 0.0224 | 12.0 | 10980 | 0.0998 | 0.56 |
| 0.0168 | 13.0 | 11895 | 0.0729 | 0.6452 |
| 0.0106 | 14.0 | 12810 | 0.1171 | 0.4444 |
| 0.0097 | 15.0 | 13725 | 0.0735 | 0.5818 |
| 0.0187 | 16.0 | 14640 | 0.0943 | 0.5417 |
| 0.0128 | 17.0 | 15555 | 0.1011 | 0.5417 |
| 0.0098 | 18.0 | 16470 | 0.1029 | 0.5714 |
| 0.0116 | 19.0 | 17385 | 0.0949 | 0.6182 |
| 0.0084 | 20.0 | 18300 | 0.0956 | 0.6154 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2