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ninagroot/Llama-360Mtest

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README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.4066
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  ## Model description
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@@ -41,28 +41,23 @@ The following hyperparameters were used during training:
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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_steps: 300
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- - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 7.1842 | 0.99 | 44 | 6.6664 |
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- | 5.6972 | 1.99 | 88 | 5.4155 |
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- | 4.8124 | 2.98 | 132 | 4.6722 |
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- | 4.1773 | 4.0 | 177 | 4.4451 |
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- | 3.6907 | 4.99 | 221 | 4.3309 |
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- | 3.5861 | 5.99 | 265 | 4.2794 |
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- | 3.3727 | 6.98 | 309 | 4.2343 |
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- | 3.1369 | 8.0 | 354 | 4.2810 |
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- | 2.7116 | 8.99 | 398 | 4.2828 |
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- | 2.3491 | 9.99 | 442 | 4.3183 |
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- | 2.0411 | 10.98 | 486 | 4.3084 |
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- | 1.5302 | 12.0 | 531 | 4.3548 |
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- | 1.1022 | 12.99 | 575 | 4.3852 |
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- | 0.8591 | 13.99 | 619 | 4.4058 |
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- | 0.7952 | 14.92 | 660 | 4.4066 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.1915
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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_steps: 300
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 7.042 | 0.99 | 44 | 6.5393 |
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+ | 5.6951 | 1.99 | 88 | 5.4631 |
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+ | 4.7481 | 2.98 | 132 | 4.6474 |
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+ | 4.1761 | 4.0 | 177 | 4.4405 |
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+ | 3.6565 | 4.99 | 221 | 4.3291 |
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+ | 3.5648 | 5.99 | 265 | 4.2850 |
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+ | 3.3644 | 6.98 | 309 | 4.2276 |
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+ | 3.1299 | 8.0 | 354 | 4.2050 |
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+ | 2.5705 | 8.99 | 398 | 4.2062 |
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+ | 2.1843 | 9.94 | 440 | 4.1915 |
 
 
 
 
 
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  ### Framework versions
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