chathuru commited on
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CuATR-distilbert-LoRA

Browse files
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6921
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- - Accuracy: 0.6087
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- - F1: 0.7429
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  ## Model description
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@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6915 | 0.67 | 1 | 0.6924 | 0.5652 | 0.7222 |
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- | 0.7001 | 2.0 | 3 | 0.6922 | 0.6087 | 0.7429 |
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- | 0.6993 | 2.67 | 4 | 0.6921 | 0.6087 | 0.7429 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6857
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+ - Accuracy: 0.5652
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+ - F1: 0.7222
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6809 | 0.67 | 1 | 0.6860 | 0.5652 | 0.7222 |
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+ | 0.6938 | 2.0 | 3 | 0.6857 | 0.5652 | 0.7222 |
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+ | 0.6844 | 2.67 | 4 | 0.6857 | 0.5652 | 0.7222 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -12,13 +12,13 @@
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  "lora_dropout": 0.05,
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  "peft_type": "LORA",
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  "q_lin",
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  ],
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  "task_type": "TOKEN_CLS"
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  }
 
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  "lora_dropout": 0.05,
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  "peft_type": "LORA",
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  "target_modules": [
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  "q_lin",
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