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timeperiod-classification

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distilbert
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  1. README.md +10 -11
  2. model.safetensors +1 -1
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: 0.4592
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- - Accuracy: 0.8730
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- - F1: 0.8700
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  ## Model description
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@@ -44,20 +44,19 @@ The following hyperparameters were used during training:
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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: cosine
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- - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.7259 | 1.0 | 159 | 1.0685 | 0.6984 | 0.6205 |
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- | 0.6121 | 2.0 | 318 | 0.4579 | 0.8889 | 0.8832 |
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- | 0.1625 | 3.0 | 477 | 0.4437 | 0.8730 | 0.8734 |
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- | 0.0558 | 4.0 | 636 | 0.4504 | 0.8730 | 0.8700 |
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- | 0.0326 | 5.0 | 795 | 0.4623 | 0.8889 | 0.8873 |
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- | 0.0257 | 6.0 | 954 | 0.4592 | 0.8730 | 0.8700 |
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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: 0.5570
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+ - Accuracy: 0.8571
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+ - F1: 0.8547
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  ## Model description
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  - 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
 
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  - num_epochs: 6
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  ### Training results
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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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