imdatta0 commited on
Commit
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End of training

Browse files
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@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2331
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  ## Model description
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@@ -45,7 +45,7 @@ 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_ratio: 0.02
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- - num_epochs: 0.4
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  ### Training results
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@@ -82,6 +82,8 @@ The following hyperparameters were used during training:
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  | 1.2077 | 0.3757 | 58 | 1.2331 |
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  | 1.1729 | 0.3887 | 60 | 1.2330 |
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  | 1.2643 | 0.4016 | 62 | 1.2331 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2332
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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_ratio: 0.02
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+ - num_epochs: 0.43
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  ### Training results
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  | 1.2077 | 0.3757 | 58 | 1.2331 |
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  | 1.1729 | 0.3887 | 60 | 1.2330 |
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  | 1.2643 | 0.4016 | 62 | 1.2331 |
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+ | 1.3324 | 0.4146 | 64 | 1.2331 |
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+ | 1.2215 | 0.4275 | 66 | 1.2332 |
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  ### Framework versions
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