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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: 6.4242
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  ## Model description
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@@ -33,13 +33,14 @@ 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: 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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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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@@ -47,18 +48,26 @@ 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 | 0.57 | 1 | 8.5126 |
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- | No log | 1.71 | 3 | 8.2629 |
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- | No log | 2.86 | 5 | 7.6468 |
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- | No log | 4.0 | 7 | 7.0674 |
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- | No log | 4.57 | 8 | 6.9461 |
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- | No log | 5.71 | 10 | 6.7528 |
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- | No log | 6.86 | 12 | 6.5911 |
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- | No log | 8.0 | 14 | 6.5001 |
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- | No log | 8.57 | 15 | 6.4729 |
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- | No log | 9.71 | 17 | 6.4385 |
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- | No log | 10.86 | 19 | 6.4254 |
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- | 6.4414 | 11.43 | 20 | 6.4242 |
 
 
 
 
 
 
 
 
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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: 5.4878
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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: 8
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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: 32
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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: 50
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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 7 | 8.6294 |
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+ | No log | 2.0 | 14 | 7.4266 |
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+ | 7.6351 | 3.0 | 21 | 6.6887 |
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+ | 7.6351 | 4.0 | 28 | 6.2073 |
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+ | 7.6351 | 5.0 | 35 | 5.6607 |
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+ | 4.8066 | 6.0 | 42 | 5.3291 |
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+ | 4.8066 | 7.0 | 49 | 5.1600 |
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+ | 4.8066 | 8.0 | 56 | 5.1858 |
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+ | 3.1317 | 9.0 | 63 | 5.1762 |
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+ | 3.1317 | 10.0 | 70 | 5.2201 |
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+ | 3.1317 | 11.0 | 77 | 5.2886 |
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+ | 1.8969 | 12.0 | 84 | 5.2965 |
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+ | 1.8969 | 13.0 | 91 | 5.3368 |
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+ | 1.8969 | 14.0 | 98 | 5.3904 |
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+ | 0.8088 | 15.0 | 105 | 5.3941 |
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+ | 0.8088 | 16.0 | 112 | 5.4356 |
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+ | 0.8088 | 17.0 | 119 | 5.4636 |
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+ | 0.2919 | 18.0 | 126 | 5.4765 |
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+ | 0.2919 | 19.0 | 133 | 5.4868 |
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+ | 0.1383 | 20.0 | 140 | 5.4878 |
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  ### Framework versions
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