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TestForColab

Text Classification
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End of training

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  1. README.md +28 -28
  2. runs/Dec09_08-10-58_a98b0b2c5e23/events.out.tfevents.1702109458.a98b0b2c5e23.1955.24 +2 -2
  3. runs/Dec09_08-10-58_a98b0b2c5e23/events.out.tfevents.1702109458.a98b0b2c5e23.1955.25 +2 -2
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 [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6515
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- - Accuracy: 0.56
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- - F1: 0.5579
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  ## Model description
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@@ -51,31 +51,31 @@ 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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- | No log | 0.0 | 50 | 0.6897 | 0.54 | 0.3787 |
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- | No log | 0.01 | 100 | 0.6899 | 0.6 | 0.5926 |
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- | No log | 0.01 | 150 | 0.6952 | 0.46 | 0.2899 |
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- | No log | 0.01 | 200 | 0.6874 | 0.63 | 0.6194 |
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- | No log | 0.02 | 250 | 0.6849 | 0.64 | 0.6092 |
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- | No log | 0.02 | 300 | 0.6929 | 0.46 | 0.2899 |
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- | No log | 0.02 | 350 | 0.6830 | 0.6 | 0.5390 |
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- | No log | 0.03 | 400 | 0.6821 | 0.54 | 0.3787 |
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- | No log | 0.03 | 450 | 0.6812 | 0.63 | 0.6095 |
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- | 0.6924 | 0.03 | 500 | 0.6806 | 0.62 | 0.6077 |
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- | 0.6924 | 0.04 | 550 | 0.6770 | 0.62 | 0.5969 |
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- | 0.6924 | 0.04 | 600 | 0.6805 | 0.58 | 0.5746 |
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- | 0.6924 | 0.04 | 650 | 0.6800 | 0.59 | 0.5857 |
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- | 0.6924 | 0.05 | 700 | 0.6732 | 0.63 | 0.6008 |
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- | 0.6924 | 0.05 | 750 | 0.6820 | 0.56 | 0.5387 |
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- | 0.6924 | 0.05 | 800 | 0.6652 | 0.64 | 0.6253 |
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- | 0.6924 | 0.06 | 850 | 0.6634 | 0.59 | 0.5896 |
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- | 0.6924 | 0.06 | 900 | 0.6604 | 0.61 | 0.6103 |
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- | 0.6924 | 0.06 | 950 | 0.6733 | 0.62 | 0.5936 |
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- | 0.6842 | 0.07 | 1000 | 0.6590 | 0.65 | 0.6176 |
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- | 0.6842 | 0.07 | 1050 | 0.6549 | 0.6 | 0.6005 |
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- | 0.6842 | 0.07 | 1100 | 0.6521 | 0.63 | 0.6242 |
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- | 0.6842 | 0.08 | 1150 | 0.6524 | 0.61 | 0.6015 |
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- | 0.6842 | 0.08 | 1200 | 0.6587 | 0.57 | 0.5634 |
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- | 0.6842 | 0.09 | 1250 | 0.6515 | 0.56 | 0.5579 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6591
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+ - Accuracy: 0.62
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+ - F1: 0.6205
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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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+ | No log | 0.01 | 50 | 0.6891 | 0.54 | 0.3787 |
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+ | No log | 0.01 | 100 | 0.6893 | 0.54 | 0.3787 |
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+ | No log | 0.02 | 150 | 0.6876 | 0.54 | 0.3787 |
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+ | No log | 0.03 | 200 | 0.6978 | 0.48 | 0.4231 |
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+ | No log | 0.03 | 250 | 0.6899 | 0.5 | 0.4878 |
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+ | No log | 0.04 | 300 | 0.6825 | 0.57 | 0.5577 |
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+ | No log | 0.04 | 350 | 0.6782 | 0.62 | 0.6205 |
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+ | No log | 0.05 | 400 | 0.6692 | 0.6 | 0.5981 |
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+ | No log | 0.06 | 450 | 0.6688 | 0.58 | 0.5664 |
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+ | 0.6773 | 0.06 | 500 | 0.6692 | 0.6 | 0.5966 |
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+ | 0.6773 | 0.07 | 550 | 0.6642 | 0.62 | 0.62 |
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+ | 0.6773 | 0.08 | 600 | 0.6577 | 0.65 | 0.6505 |
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+ | 0.6773 | 0.08 | 650 | 0.6618 | 0.6 | 0.5992 |
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+ | 0.6773 | 0.09 | 700 | 0.6617 | 0.62 | 0.62 |
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+ | 0.6773 | 0.09 | 750 | 0.6641 | 0.62 | 0.6205 |
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+ | 0.6773 | 0.1 | 800 | 0.6573 | 0.62 | 0.62 |
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+ | 0.6773 | 0.11 | 850 | 0.6625 | 0.61 | 0.6096 |
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+ | 0.6773 | 0.11 | 900 | 0.6625 | 0.63 | 0.6303 |
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+ | 0.6773 | 0.12 | 950 | 0.6632 | 0.62 | 0.6181 |
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+ | 0.6414 | 0.13 | 1000 | 0.6613 | 0.62 | 0.6206 |
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+ | 0.6414 | 0.13 | 1050 | 0.6594 | 0.62 | 0.6206 |
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+ | 0.6414 | 0.14 | 1100 | 0.6607 | 0.62 | 0.6206 |
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+ | 0.6414 | 0.14 | 1150 | 0.6580 | 0.62 | 0.6205 |
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+ | 0.6414 | 0.15 | 1200 | 0.6628 | 0.62 | 0.6205 |
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+ | 0.6414 | 0.16 | 1250 | 0.6591 | 0.62 | 0.6205 |
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  ### Framework versions
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runs/Dec09_08-10-58_a98b0b2c5e23/events.out.tfevents.1702109458.a98b0b2c5e23.1955.25 CHANGED
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