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  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Ministral-8B-Instruct-2410-PsyCourse-info-fold1
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- This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on the course-info-train-fold1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1302
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  ## Model description
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@@ -52,18 +52,18 @@ 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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- | 0.4431 | 0.3951 | 10 | 0.4042 |
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- | 0.1789 | 0.7901 | 20 | 0.1883 |
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- | 0.1685 | 1.1852 | 30 | 0.1535 |
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- | 0.1026 | 1.5802 | 40 | 0.1392 |
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- | 0.1052 | 1.9753 | 50 | 0.1383 |
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- | 0.0629 | 2.3704 | 60 | 0.1352 |
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- | 0.0653 | 2.7654 | 70 | 0.1302 |
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- | 0.0544 | 3.1605 | 80 | 0.1320 |
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- | 0.0521 | 3.5556 | 90 | 0.1351 |
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- | 0.0612 | 3.9506 | 100 | 0.1329 |
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- | 0.0354 | 4.3457 | 110 | 0.1340 |
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- | 0.0391 | 4.7407 | 120 | 0.1346 |
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  ### Framework versions
 
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  # Ministral-8B-Instruct-2410-PsyCourse-info-fold1
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+ This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1342
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.4441 | 0.3951 | 10 | 0.4036 |
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+ | 0.1788 | 0.7901 | 20 | 0.1884 |
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+ | 0.1678 | 1.1852 | 30 | 0.1535 |
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+ | 0.1048 | 1.5802 | 40 | 0.1393 |
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+ | 0.1062 | 1.9753 | 50 | 0.1388 |
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+ | 0.064 | 2.3704 | 60 | 0.1354 |
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+ | 0.0644 | 2.7654 | 70 | 0.1321 |
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+ | 0.0551 | 3.1605 | 80 | 0.1334 |
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+ | 0.0525 | 3.5556 | 90 | 0.1349 |
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+ | 0.0615 | 3.9506 | 100 | 0.1327 |
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+ | 0.0367 | 4.3457 | 110 | 0.1336 |
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+ | 0.0396 | 4.7407 | 120 | 0.1342 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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