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Sreenath/sqlm

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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 [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3154
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  ## Model description
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@@ -50,16 +50,16 @@ 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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- | 0.5618 | 0.0333 | 20 | 0.4606 |
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- | 0.3727 | 0.0667 | 40 | 0.3839 |
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- | 0.3843 | 0.1 | 60 | 0.3572 |
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- | 0.3291 | 0.1333 | 80 | 0.3422 |
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- | 0.3376 | 0.1667 | 100 | 0.3361 |
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- | 0.3182 | 0.2 | 120 | 0.3321 |
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- | 0.3456 | 0.2333 | 140 | 0.3301 |
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- | 0.3278 | 0.2667 | 160 | 0.3255 |
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- | 0.33 | 0.3 | 180 | 0.3200 |
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- | 0.3217 | 0.3333 | 200 | 0.3154 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3168
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.5858 | 0.0333 | 20 | 0.4605 |
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+ | 0.395 | 0.0667 | 40 | 0.3820 |
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+ | 0.352 | 0.1 | 60 | 0.3551 |
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+ | 0.3695 | 0.1333 | 80 | 0.3410 |
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+ | 0.3281 | 0.1667 | 100 | 0.3359 |
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+ | 0.3304 | 0.2 | 120 | 0.3325 |
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+ | 0.3435 | 0.2333 | 140 | 0.3292 |
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+ | 0.3416 | 0.2667 | 160 | 0.3275 |
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+ | 0.3331 | 0.3 | 180 | 0.3221 |
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+ | 0.328 | 0.3333 | 200 | 0.3168 |
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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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