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thespicynoodle/tutorialone

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  1. README.md +11 -11
  2. adapter_model.safetensors +1 -1
  3. runs/Mar13_06-06-53_6588bd6c37be/events.out.tfevents.1710310017.6588bd6c37be.8932.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8789
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  ## Model description
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@@ -51,16 +51,16 @@ 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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- | 4.5935 | 0.92 | 3 | 3.9643 |
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- | 4.0527 | 1.85 | 6 | 3.4490 |
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- | 3.4789 | 2.77 | 9 | 2.9904 |
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- | 2.2701 | 4.0 | 13 | 2.5721 |
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- | 2.7008 | 4.92 | 16 | 2.3349 |
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- | 2.3923 | 5.85 | 19 | 2.1503 |
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- | 2.1827 | 6.77 | 22 | 2.0201 |
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- | 1.547 | 8.0 | 26 | 1.9507 |
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- | 2.0125 | 8.92 | 29 | 1.8888 |
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- | 1.385 | 9.23 | 30 | 1.8789 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8978
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.4004 | 0.92 | 9 | 2.6415 |
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+ | 2.5356 | 1.95 | 19 | 2.3921 |
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+ | 2.2429 | 2.97 | 29 | 2.2271 |
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+ | 2.0182 | 4.0 | 39 | 2.0984 |
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+ | 2.0963 | 4.92 | 48 | 2.0157 |
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+ | 1.7926 | 5.95 | 58 | 1.9555 |
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+ | 1.7221 | 6.97 | 68 | 1.9214 |
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+ | 1.6816 | 8.0 | 78 | 1.9057 |
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+ | 1.8335 | 8.92 | 87 | 1.8983 |
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+ | 1.2605 | 9.23 | 90 | 1.8978 |
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  ### Framework versions
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