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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: 8.3245
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  ## Model description
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@@ -33,14 +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: 16
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 8
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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: 300
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  - num_epochs: 4
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  - mixed_precision_training: Native AMP
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@@ -48,10 +48,10 @@ 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 | 0.89 | 2 | 8.5737 |
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- | No log | 1.78 | 4 | 8.5252 |
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- | No log | 2.67 | 6 | 8.4412 |
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- | No log | 3.56 | 8 | 8.3245 |
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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: 4.2830
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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: 2
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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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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  - num_epochs: 4
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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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+ | 6.0238 | 1.0 | 69 | 5.9202 |
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+ | 5.2632 | 2.0 | 138 | 4.8940 |
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+ | 4.012 | 3.0 | 207 | 4.3873 |
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+ | 3.7681 | 4.0 | 276 | 4.2830 |
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  ### Framework versions
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