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: 0.
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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 | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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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: 0.5143
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.9194 | 0.9991 | 843 | 0.8285 |
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| 0.7235 | 1.9994 | 1687 | 0.5914 |
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| 0.6104 | 2.9973 | 2529 | 0.5143 |
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### Framework versions
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model.safetensors
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training_args.bin
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