Model save
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README.md
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---
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license: mit
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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# 4_bar_lmd_clean_custom_epochs10
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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:
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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.
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### Framework versions
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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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# 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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- 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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runs/Apr29_21-07-50_algo-1/events.out.tfevents.1714424916.algo-1.46.0
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size
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size 8719
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