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End of training

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  1. README.md +12 -12
  2. adapter_config.json +1 -2
  3. adapter_model.bin +2 -2
  4. model.safetensors +2 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1488
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  ## Model description
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@@ -50,17 +50,17 @@ 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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- | 2.2512 | 0.09 | 10 | 1.9189 |
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- | 1.9251 | 0.18 | 20 | 1.9020 |
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- | 1.8763 | 0.27 | 30 | 1.7975 |
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- | 1.7047 | 0.36 | 40 | 1.5334 |
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- | 1.3481 | 0.45 | 50 | 1.0845 |
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- | 0.903 | 0.54 | 60 | 0.4961 |
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- | 0.3472 | 0.63 | 70 | 0.2086 |
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- | 0.1915 | 0.73 | 80 | 0.1576 |
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- | 0.1476 | 0.82 | 90 | 0.1530 |
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- | 0.1554 | 0.91 | 100 | 0.1492 |
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- | 0.1582 | 1.0 | 110 | 0.1488 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1474
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.238 | 0.09 | 10 | 1.8587 |
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+ | 1.7567 | 0.18 | 20 | 1.5411 |
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+ | 1.2688 | 0.27 | 30 | 0.8329 |
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+ | 0.5198 | 0.36 | 40 | 0.2499 |
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+ | 0.1877 | 0.45 | 50 | 0.1580 |
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+ | 0.1639 | 0.54 | 60 | 0.1526 |
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+ | 0.1475 | 0.63 | 70 | 0.1475 |
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+ | 0.1626 | 0.73 | 80 | 0.1470 |
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+ | 0.1406 | 0.82 | 90 | 0.1481 |
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+ | 0.1536 | 0.91 | 100 | 0.1477 |
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+ | 0.1551 | 1.0 | 110 | 0.1474 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -9,8 +9,7 @@
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  "lora_dropout": 0.05,
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  "merge_weights": false,
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  "modules_to_save": null,
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- "number_of_adapter_pre_layer": 8,
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- "peft_type": "M_LORA",
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  "r": 4,
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  "target_modules": [
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  "q_proj",
 
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  "lora_dropout": 0.05,
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  "merge_weights": false,
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  "modules_to_save": null,
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+ "peft_type": "LORA",
 
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  "r": 4,
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  "target_modules": [
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  "q_proj",
adapter_model.bin CHANGED
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