metadata
base_model: yemen2016/memo_model
tags:
- generated_from_trainer
model-index:
- name: new_memo_model
results: []
new_memo_model
This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-01 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7214
- F1-score: 0.6667
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 |
|---|---|---|---|---|
| No log | 1.0 | 11 | 0.7214 | 0.6667 |
| No log | 2.0 | 22 | 1.2543 | 0.5429 |
| No log | 3.0 | 33 | 1.0829 | 0.6837 |
| No log | 4.0 | 44 | 1.3815 | 0.7552 |
| No log | 5.0 | 55 | 1.4733 | 0.7005 |
| No log | 6.0 | 66 | 2.3876 | 0.5513 |
| No log | 7.0 | 77 | 1.3215 | 0.8004 |
| No log | 8.0 | 88 | 1.4006 | 0.7608 |
| No log | 9.0 | 99 | 1.4862 | 0.7608 |
| No log | 10.0 | 110 | 1.4974 | 0.7608 |
| No log | 11.0 | 121 | 1.4966 | 0.7608 |
| No log | 12.0 | 132 | 1.5040 | 0.7608 |
| No log | 13.0 | 143 | 1.5010 | 0.7608 |
| No log | 14.0 | 154 | 1.4741 | 0.7608 |
| No log | 15.0 | 165 | 1.4507 | 0.7608 |
| No log | 16.0 | 176 | 1.4420 | 0.7608 |
| No log | 17.0 | 187 | 1.4398 | 0.7608 |
| No log | 18.0 | 198 | 1.4426 | 0.7608 |
| No log | 19.0 | 209 | 1.4438 | 0.7608 |
| No log | 20.0 | 220 | 1.4439 | 0.7608 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1