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timeperiod-classification

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distilbert
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Venkatesh4342 commited on
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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Aug13_07-50-18_cf8f83462ee8/events.out.tfevents.1723535418.cf8f83462ee8.7856.11 +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 [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.5570
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  - Accuracy: 0.8571
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- - F1: 0.8547
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -51,12 +51,12 @@ 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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- | 1.5142 | 1.0 | 159 | 0.9113 | 0.7302 | 0.6726 |
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- | 0.5447 | 2.0 | 318 | 0.5089 | 0.8413 | 0.8322 |
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- | 0.1902 | 3.0 | 477 | 0.5112 | 0.8413 | 0.8352 |
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- | 0.0815 | 4.0 | 636 | 0.5416 | 0.8413 | 0.8363 |
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- | 0.0441 | 5.0 | 795 | 0.5514 | 0.8571 | 0.8547 |
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- | 0.0353 | 6.0 | 954 | 0.5570 | 0.8571 | 0.8547 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.7377
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  - Accuracy: 0.8571
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+ - F1: 0.8567
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 318 | 0.7008 | 0.7778 | 0.7526 |
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+ | 0.9267 | 2.0 | 636 | 0.5101 | 0.8571 | 0.8547 |
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+ | 0.9267 | 3.0 | 954 | 0.6938 | 0.8730 | 0.8734 |
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+ | 0.1034 | 4.0 | 1272 | 0.6638 | 0.8730 | 0.8734 |
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+ | 0.0289 | 5.0 | 1590 | 0.7391 | 0.8571 | 0.8567 |
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+ | 0.0289 | 6.0 | 1908 | 0.7377 | 0.8571 | 0.8567 |
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  ### Framework versions
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