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End of training

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  1. README.md +5 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4482
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  ## Model description
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@@ -41,14 +41,15 @@ The following hyperparameters were used during training:
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.4516 | 0.9991 | 843 | 0.4501 |
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- | 0.449 | 1.9982 | 1686 | 0.4482 |
 
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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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