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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: 3.4944
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  ## Model description
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@@ -41,20 +41,16 @@ 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: 100
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- - num_epochs: 7
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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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- | 3.0504 | 1.0 | 197 | 3.3870 |
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- | 1.9707 | 2.0 | 394 | 3.2436 |
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- | 0.9107 | 3.0 | 591 | 3.3470 |
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- | 0.5113 | 4.0 | 788 | 3.4348 |
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- | 0.3692 | 5.0 | 985 | 3.4695 |
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- | 0.2936 | 6.0 | 1182 | 3.4905 |
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- | 0.2342 | 7.0 | 1379 | 3.4944 |
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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: 3.1541
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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: 100
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+ - num_epochs: 3
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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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+ | 6.439 | 0.99 | 49 | 4.6694 |
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+ | 3.4594 | 2.0 | 99 | 3.3145 |
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+ | 2.1092 | 2.97 | 147 | 3.1541 |
 
 
 
 
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  ### Framework versions
config.json CHANGED
@@ -10,7 +10,7 @@
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "model_type": "llama",
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  "num_hidden_layers": 24,
 
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