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ai-maker-space/llama38binstruct-summary-100s

Browse files
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4861
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  ## Model description
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@@ -46,14 +46,16 @@ 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: constant
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  - lr_scheduler_warmup_steps: 0.03
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- - training_steps: 50
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.0813 | 2.5 | 25 | 1.3628 |
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- | 0.6823 | 5.0 | 50 | 1.4861 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3068
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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: constant
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  - lr_scheduler_warmup_steps: 0.03
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+ - training_steps: 100
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.6136 | 1.1905 | 25 | 1.2093 |
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+ | 1.2326 | 2.3810 | 50 | 1.1685 |
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+ | 0.8728 | 3.5714 | 75 | 1.2155 |
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+ | 0.722 | 4.7619 | 100 | 1.3068 |
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  ### Framework versions
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@@ -20,8 +20,8 @@
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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