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End of training

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  1. README.md +5 -9
  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: 0.2692
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  ## Model description
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@@ -41,17 +41,13 @@ 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: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.3463 | 0.9963 | 201 | 0.3110 |
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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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