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ai-maker-space/mistral-7binstruct-summary-100s

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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 [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6702
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 42
@@ -52,14 +52,14 @@ 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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- | 2.2857 | 0.03 | 25 | 2.0678 |
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- | 1.8703 | 0.05 | 50 | 1.8014 |
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- | 1.7283 | 0.08 | 75 | 1.7335 |
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- | 1.6706 | 0.11 | 100 | 1.7046 |
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- | 1.7128 | 0.13 | 125 | 1.6872 |
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- | 1.6585 | 0.16 | 150 | 1.6762 |
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- | 1.72 | 0.19 | 175 | 1.6709 |
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- | 1.622 | 0.22 | 200 | 1.6702 |
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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 generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5191
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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  - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.6262 | 0.03 | 25 | 1.6082 |
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+ | 1.5864 | 0.05 | 50 | 1.5514 |
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+ | 1.5134 | 0.08 | 75 | 1.5421 |
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+ | 1.4968 | 0.11 | 100 | 1.5329 |
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+ | 1.5627 | 0.13 | 125 | 1.5259 |
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+ | 1.5015 | 0.16 | 150 | 1.5221 |
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+ | 1.5712 | 0.19 | 175 | 1.5195 |
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+ | 1.4796 | 0.22 | 200 | 1.5191 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -9,13 +9,13 @@
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