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meta-llama/CodeLlama-7b-Instruct-hf-FaVe-rank32-2epochs-v2

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README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3363
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  ## Model description
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@@ -52,13 +52,13 @@ 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 | 0.2685 | 10 | 1.4056 |
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- | 1.6644 | 0.5369 | 20 | 0.6569 |
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- | 1.6644 | 0.8054 | 30 | 0.5326 |
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- | 0.61 | 1.0738 | 40 | 0.4391 |
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- | 0.61 | 1.3423 | 50 | 0.3860 |
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- | 0.46 | 1.6107 | 60 | 0.3620 |
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- | 0.46 | 1.8792 | 70 | 0.3363 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3588
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | No log | 0.2685 | 10 | 1.3789 |
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+ | 1.6221 | 0.5369 | 20 | 0.6015 |
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+ | 1.6221 | 0.8054 | 30 | 0.5153 |
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+ | 0.6128 | 1.0738 | 40 | 0.4366 |
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+ | 0.6128 | 1.3423 | 50 | 0.4192 |
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+ | 0.4311 | 1.6107 | 60 | 0.3731 |
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+ | 0.4311 | 1.8792 | 70 | 0.3588 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,8 +20,8 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "q_proj",
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- "v_proj"
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  ],
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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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+ "v_proj",
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+ "q_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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