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End of training

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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-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2938
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  ## Model description
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@@ -43,18 +43,21 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.3462 | 1.0 | 90 | 1.3466 |
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- | 1.2444 | 2.0 | 180 | 1.3130 |
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- | 1.2703 | 3.0 | 270 | 1.2982 |
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- | 1.3261 | 4.0 | 360 | 1.2945 |
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- | 1.2466 | 5.0 | 450 | 1.2937 |
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- | 1.323 | 6.0 | 540 | 1.2938 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2901
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 9
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3446 | 1.0 | 90 | 1.3456 |
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+ | 1.2406 | 2.0 | 180 | 1.3101 |
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+ | 1.2645 | 3.0 | 270 | 1.2944 |
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+ | 1.3111 | 4.0 | 360 | 1.2891 |
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+ | 1.2212 | 5.0 | 450 | 1.2879 |
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+ | 1.2865 | 6.0 | 540 | 1.2887 |
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+ | 1.1752 | 7.0 | 630 | 1.2897 |
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+ | 1.163 | 8.0 | 720 | 1.2901 |
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+ | 1.2103 | 9.0 | 810 | 1.2901 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -22,8 +22,8 @@
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  "target_modules": [
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  "q_proj",
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  "k_proj",
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- "o_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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  "target_modules": [
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  "q_proj",
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  "k_proj",
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+ "v_proj",
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+ "o_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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