metadata
library_name: transformers
base_model: MiMe-MeMo/MeMo-BERT-03
tags:
- generated_from_trainer
model-index:
- name: memobert3_ED1
results: []
memobert3_ED1
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: 0.2698
- F1-score: 0.9344
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 69 | 0.2789 | 0.8934 |
| No log | 2.0 | 138 | 0.3454 | 0.8839 |
| No log | 3.0 | 207 | 0.2698 | 0.9344 |
| No log | 4.0 | 276 | 0.4248 | 0.9262 |
| No log | 5.0 | 345 | 0.5399 | 0.9097 |
| No log | 6.0 | 414 | 0.5981 | 0.8933 |
| No log | 7.0 | 483 | 0.6430 | 0.9013 |
| 0.1618 | 8.0 | 552 | 0.6388 | 0.9096 |
| 0.1618 | 9.0 | 621 | 0.6361 | 0.9096 |
| 0.1618 | 10.0 | 690 | 0.6451 | 0.9096 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1