metadata
license: mit
base_model: mikhail-panzo/malay_full_checkpoint
tags:
- generated_from_trainer
model-index:
- name: fil_weak_checkpoint
results: []
fil_weak_checkpoint
This model is a fine-tuned version of mikhail-panzo/malay_full_checkpoint on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5971
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-07
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 2000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8731 | 6.1 | 500 | 0.7693 |
| 0.8254 | 12.2 | 1000 | 0.7411 |
| 0.7658 | 18.29 | 1500 | 0.7017 |
| 0.7163 | 24.39 | 2000 | 0.6637 |
| 0.6894 | 30.49 | 2500 | 0.6350 |
| 0.6636 | 36.59 | 3000 | 0.6143 |
| 0.6534 | 42.68 | 3500 | 0.6035 |
| 0.6485 | 48.78 | 4000 | 0.5971 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2