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roberta-base-lora-text-classification

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SaiPavanKumarMeruga/roberta-base-lora-sarcasm-classification

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  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
  3. runs/Aug04_23-11-39_Sais-MBP-3.attlocal.net/events.out.tfevents.1722827499.Sais-MBP-3.attlocal.net.7730.0 +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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7005
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- - Accuracy: {'accuracy': 0.858}
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  ## Model description
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@@ -50,11 +50,11 @@ 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 | 0.6210 | {'accuracy': 0.688} |
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- | 0.6692 | 2.0 | 500 | 0.5909 | {'accuracy': 0.84} |
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- | 0.6692 | 3.0 | 750 | 0.5707 | {'accuracy': 0.84} |
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- | 0.4899 | 4.0 | 1000 | 0.4900 | {'accuracy': 0.84} |
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- | 0.4899 | 5.0 | 1250 | 0.7005 | {'accuracy': 0.858} |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8264
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+ - Accuracy: {'accuracy': 0.862}
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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 | 0.4008 | {'accuracy': 0.82} |
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+ | 0.6294 | 2.0 | 500 | 0.6326 | {'accuracy': 0.84} |
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+ | 0.6294 | 3.0 | 750 | 0.6141 | {'accuracy': 0.87} |
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+ | 0.3802 | 4.0 | 1000 | 1.2677 | {'accuracy': 0.82} |
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+ | 0.3802 | 5.0 | 1250 | 0.8264 | {'accuracy': 0.862} |
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  ### Framework versions
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