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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: 5.8085
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  ## Model description
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@@ -33,9 +33,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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- - train_batch_size: 128
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  - eval_batch_size: 8
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  - seed: 42
 
 
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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: 100
@@ -46,26 +48,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 2 | 9.5793 |
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- | No log | 2.0 | 4 | 9.4152 |
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- | No log | 3.0 | 6 | 9.1316 |
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- | No log | 4.0 | 8 | 8.7380 |
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- | No log | 5.0 | 10 | 8.3188 |
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- | No log | 6.0 | 12 | 7.9744 |
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- | No log | 7.0 | 14 | 7.7319 |
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- | No log | 8.0 | 16 | 7.5281 |
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- | No log | 9.0 | 18 | 7.3462 |
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- | 7.7273 | 10.0 | 20 | 7.1425 |
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- | 7.7273 | 11.0 | 22 | 6.9576 |
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- | 7.7273 | 12.0 | 24 | 6.8328 |
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- | 7.7273 | 13.0 | 26 | 6.7287 |
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- | 7.7273 | 14.0 | 28 | 6.5925 |
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- | 7.7273 | 15.0 | 30 | 6.4616 |
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- | 7.7273 | 16.0 | 32 | 6.3364 |
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- | 7.7273 | 17.0 | 34 | 6.1597 |
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- | 7.7273 | 18.0 | 36 | 6.0180 |
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- | 7.7273 | 19.0 | 38 | 5.9374 |
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- | 4.5836 | 20.0 | 40 | 5.8085 |
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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: 7.2089
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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+ - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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: 100
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.57 | 1 | 9.6356 |
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+ | No log | 1.71 | 3 | 9.5387 |
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+ | No log | 2.86 | 5 | 9.3202 |
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+ | No log | 4.0 | 7 | 8.9818 |
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+ | No log | 4.57 | 8 | 8.7723 |
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+ | No log | 5.71 | 10 | 8.3589 |
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+ | No log | 6.86 | 12 | 8.0324 |
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+ | No log | 8.0 | 14 | 7.7929 |
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+ | No log | 8.57 | 15 | 7.7018 |
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+ | No log | 9.71 | 17 | 7.5004 |
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+ | No log | 10.86 | 19 | 7.3090 |
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+ | 7.7857 | 11.43 | 20 | 7.2089 |
 
 
 
 
 
 
 
 
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  ### Framework versions
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