malay_small_checkpoint
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5618
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: 1e-06
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6222 | 6.14 | 1000 | 0.5743 |
| 0.6214 | 12.29 | 2000 | 0.5689 |
| 0.6161 | 18.43 | 3000 | 0.5628 |
| 0.6111 | 24.58 | 4000 | 0.5618 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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