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reevan/bert_base_kan_rom

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Apr19_19-08-02_feeaba884b46/events.out.tfevents.1713553686.feeaba884b46.631.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7107
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- - Precision: 0.7026
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- - Recall: 0.6852
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- - F1: 0.6885
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- - Accuracy: 0.6858
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  ## Model description
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@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 171 | 0.9182 | 0.5766 | 0.5701 | 0.5725 | 0.5709 |
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- | No log | 2.0 | 342 | 0.8927 | 0.5607 | 0.5567 | 0.5492 | 0.5594 |
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- | 0.8332 | 3.0 | 513 | 0.7695 | 0.6618 | 0.6318 | 0.6375 | 0.6322 |
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- | 0.8332 | 4.0 | 684 | 0.7402 | 0.6859 | 0.6658 | 0.6684 | 0.6667 |
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- | 0.8332 | 5.0 | 855 | 0.7107 | 0.7026 | 0.6852 | 0.6885 | 0.6858 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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- - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7059
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+ - Precision: 0.7644
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+ - Recall: 0.7468
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+ - F1: 0.7509
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+ - Accuracy: 0.7471
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 238 | 0.9040 | 0.5971 | 0.5675 | 0.5718 | 0.5670 |
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+ | No log | 2.0 | 476 | 0.7639 | 0.6792 | 0.6517 | 0.6549 | 0.6513 |
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+ | 0.8758 | 3.0 | 714 | 0.6876 | 0.7305 | 0.7120 | 0.7162 | 0.7126 |
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+ | 0.8758 | 4.0 | 952 | 0.6862 | 0.7599 | 0.7507 | 0.7532 | 0.7510 |
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+ | 0.4678 | 5.0 | 1190 | 0.7059 | 0.7644 | 0.7468 | 0.7509 | 0.7471 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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  - Tokenizers 0.15.2
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