MARBERTv2-finetuned-squad
This model is a fine-tuned version of UBC-NLP/MARBERTv2 on the mlqa dataset. It achieves the following results on the evaluation set:
- Loss: 2.4818
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 |
|---|---|---|---|
| No log | 1.0 | 377 | 2.6473 |
| 3.3718 | 2.0 | 754 | 2.4568 |
| 2.167 | 3.0 | 1131 | 2.4818 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for RaghadDS/MARBERTv2-finetuned-squad
Base model
UBC-NLP/MARBERTv2