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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_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_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: 0.3935 |
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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: 0.0001 |
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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: 5000 |
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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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| 0.4871 | 6.76 | 500 | 0.4428 | |
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| 0.4518 | 13.51 | 1000 | 0.4171 | |
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| 0.4426 | 20.27 | 1500 | 0.4133 | |
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| 0.4355 | 27.03 | 2000 | 0.4077 | |
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| 0.425 | 33.78 | 2500 | 0.4013 | |
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| 0.4167 | 40.54 | 3000 | 0.4020 | |
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| 0.4037 | 47.3 | 3500 | 0.4051 | |
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| 0.3933 | 54.05 | 4000 | 0.3945 | |
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| 0.3875 | 60.81 | 4500 | 0.3928 | |
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| 0.3828 | 67.57 | 5000 | 0.3935 | |
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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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