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--- |
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license: mit |
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base_model: mikhail-panzo/malay_full_checkpoint |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: fil_weak_checkpoint |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# fil_weak_checkpoint |
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This model is a fine-tuned version of [mikhail-panzo/malay_full_checkpoint](https://huggingface.co/mikhail-panzo/malay_full_checkpoint) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5971 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-07 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2000 |
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- training_steps: 4000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8731 | 6.1 | 500 | 0.7693 | |
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| 0.8254 | 12.2 | 1000 | 0.7411 | |
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| 0.7658 | 18.29 | 1500 | 0.7017 | |
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| 0.7163 | 24.39 | 2000 | 0.6637 | |
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| 0.6894 | 30.49 | 2500 | 0.6350 | |
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| 0.6636 | 36.59 | 3000 | 0.6143 | |
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| 0.6534 | 42.68 | 3500 | 0.6035 | |
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| 0.6485 | 48.78 | 4000 | 0.5971 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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