End of training
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README.md
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This model is a fine-tuned version of [nagrajn/TinyLinuxDSLM81M_EXTFULL](https://huggingface.co/nagrajn/TinyLinuxDSLM81M_EXTFULL) on an unknown dataset.
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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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- 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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- num_epochs:
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### Training results
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| Training Loss | Epoch
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| 0.298 | 1.9975 | 403 | 0.2821 |
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| 0.2783 | 2.9988 | 605 | 0.2750 |
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| 0.2746 | 4.0 | 807 | 0.2712 |
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| 0.2631 | 4.9814 | 1005 | 0.2692 |
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### Framework versions
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This model is a fine-tuned version of [nagrajn/TinyLinuxDSLM81M_EXTFULL](https://huggingface.co/nagrajn/TinyLinuxDSLM81M_EXTFULL) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8399
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## Model description
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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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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.1218 | 1.0 | 201 | 3.8399 |
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### Framework versions
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model.safetensors
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