MalBERT-multilingual-finetuned-CEFR_sentences
This model is a fine-tuned version of cservan/malbert-base-cased-128k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9301
- Accuracy: 0.6113
- Precision: 0.5964
- Recall: 0.6113
- F1: 0.6029
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 449 | 0.9743 | 0.5966 | 0.5933 | 0.5966 | 0.5874 |
| 1.0509 | 2.0 | 898 | 0.9987 | 0.5673 | 0.5650 | 0.5673 | 0.5574 |
| 0.8073 | 3.0 | 1347 | 0.9301 | 0.6113 | 0.5964 | 0.6113 | 0.6029 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
cservan/malbert-base-cased-128k