metadata
base_model: MiMe-MeMo/MeMo-BERT-03
tags:
- generated_from_trainer
model-index:
- name: memobert_NC
results: []
memobert_NC
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: 0.3259
- F1-score: 0.8947
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.3862 | 0.7719 |
| No log | 2.0 | 80 | 0.3259 | 0.8947 |
| No log | 3.0 | 120 | 0.3613 | 0.8725 |
| No log | 4.0 | 160 | 0.3348 | 0.8947 |
| No log | 5.0 | 200 | 0.4362 | 0.8615 |
| No log | 6.0 | 240 | 0.3633 | 0.8902 |
| No log | 7.0 | 280 | 0.3475 | 0.8921 |
| No log | 8.0 | 320 | 0.4318 | 0.8835 |
| No log | 9.0 | 360 | 0.4266 | 0.8812 |
| No log | 10.0 | 400 | 0.4330 | 0.8902 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1