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--- |
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license: mit |
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base_model: MikeMpapa/4_bar_lmd_clean_custom_epochs10 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: 4_bar_lmd_clean_custom_epochs10 |
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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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# 4_bar_lmd_clean_custom_epochs10 |
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This model is a fine-tuned version of [MikeMpapa/4_bar_lmd_clean_custom_epochs10](https://huggingface.co/MikeMpapa/4_bar_lmd_clean_custom_epochs10) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8099 |
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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: 0.005 |
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- train_batch_size: 48 |
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- eval_batch_size: 32 |
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- seed: 1 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 96 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 81 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.078 | 9.42 | 12000 | 0.9938 | |
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| 0.9861 | 18.84 | 24000 | 0.9498 | |
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| 0.9367 | 28.26 | 36000 | 0.9170 | |
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| 0.8959 | 37.68 | 48000 | 0.8851 | |
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| 0.855 | 47.1 | 60000 | 0.8653 | |
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| 0.8125 | 56.51 | 72000 | 0.8325 | |
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| 0.772 | 65.93 | 84000 | 0.8155 | |
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| 0.7409 | 75.35 | 96000 | 0.8099 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- Pytorch 2.1.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.1 |
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