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distilbert-base-uncased-lora-text-classification

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AurrieMartinez/distilbert-base-uncased-lora-text-classification-by-finetuning-distilbert-1

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  1. README.md +12 -12
  2. adapter_model.safetensors +1 -1
  3. runs/Jun05_11-02-29_e65aac0c5aad/events.out.tfevents.1717585350.e65aac0c5aad.4248.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.9700
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- - Accuracy: {'accuracy': 0.891}
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
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- | No log | 1.0 | 250 | 0.3992 | {'accuracy': 0.87} |
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- | 0.4165 | 2.0 | 500 | 0.4943 | {'accuracy': 0.876} |
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- | 0.4165 | 3.0 | 750 | 0.5479 | {'accuracy': 0.883} |
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- | 0.2104 | 4.0 | 1000 | 0.6055 | {'accuracy': 0.896} |
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- | 0.2104 | 5.0 | 1250 | 0.7414 | {'accuracy': 0.887} |
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- | 0.0807 | 6.0 | 1500 | 0.8384 | {'accuracy': 0.892} |
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- | 0.0807 | 7.0 | 1750 | 0.9608 | {'accuracy': 0.888} |
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- | 0.0188 | 8.0 | 2000 | 0.9945 | {'accuracy': 0.888} |
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- | 0.0188 | 9.0 | 2250 | 0.9541 | {'accuracy': 0.887} |
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- | 0.0142 | 10.0 | 2500 | 0.9700 | {'accuracy': 0.891} |
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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: 0.9743
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+ - Accuracy: {'accuracy': 0.89}
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
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+ | No log | 1.0 | 250 | 0.5011 | {'accuracy': 0.849} |
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+ | 0.4507 | 2.0 | 500 | 0.3976 | {'accuracy': 0.887} |
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+ | 0.4507 | 3.0 | 750 | 0.5992 | {'accuracy': 0.891} |
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+ | 0.1928 | 4.0 | 1000 | 0.6172 | {'accuracy': 0.897} |
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+ | 0.1928 | 5.0 | 1250 | 0.7082 | {'accuracy': 0.89} |
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+ | 0.0827 | 6.0 | 1500 | 0.8177 | {'accuracy': 0.89} |
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+ | 0.0827 | 7.0 | 1750 | 0.8743 | {'accuracy': 0.886} |
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+ | 0.0127 | 8.0 | 2000 | 0.9673 | {'accuracy': 0.892} |
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+ | 0.0127 | 9.0 | 2250 | 0.9793 | {'accuracy': 0.89} |
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+ | 0.0103 | 10.0 | 2500 | 0.9743 | {'accuracy': 0.89} |
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  ### Framework versions
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