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modern-bert-finetuned-query-classification

Text Classification
Transformers
TensorBoard
ONNX
Safetensors
modernbert
Generated from Trainer
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Training in progress, epoch 1

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  1. README.md +18 -12
  2. model.safetensors +1 -1
  3. runs/Apr30_06-11-19_68be676fb8aa/events.out.tfevents.1745993502.68be676fb8aa.447.0 +3 -0
  4. runs/Apr30_06-11-19_68be676fb8aa/events.out.tfevents.1745994824.68be676fb8aa.447.1 +3 -0
  5. runs/Apr30_06-49-46_68be676fb8aa/events.out.tfevents.1745995800.68be676fb8aa.447.2 +3 -0
  6. tokenizer.json +16 -2
  7. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
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  license: apache-2.0
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  base_model: answerdotai/ModernBERT-base
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  tags:
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -21,11 +22,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2355
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- - Accuracy: 0.9700
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- - F1: 0.9700
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- - Precision: 0.9702
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- - Recall: 0.9700
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  ## Model description
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@@ -50,22 +51,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 311 | 0.1570 | 0.9587 | 0.9588 | 0.9594 | 0.9587 |
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- | 0.1864 | 2.0 | 622 | 0.2007 | 0.9644 | 0.9645 | 0.9650 | 0.9644 |
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- | 0.1864 | 3.0 | 933 | 0.2530 | 0.9644 | 0.9643 | 0.9651 | 0.9644 |
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- | 0.0242 | 4.0 | 1244 | 0.2355 | 0.9700 | 0.9700 | 0.9702 | 0.9700 |
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- | 0.0031 | 5.0 | 1555 | 0.2446 | 0.9700 | 0.9700 | 0.9702 | 0.9700 |
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.51.3
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  - Pytorch 2.6.0+cu124
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- - Datasets 3.5.0
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  - Tokenizers 0.21.1
 
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  license: apache-2.0
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  base_model: answerdotai/ModernBERT-base
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  tags:
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+ - v6.0
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1422
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+ - Accuracy: 0.9796
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+ - F1: 0.9796
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+ - Precision: 0.9797
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+ - Recall: 0.9796
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 315 | 0.1323 | 0.9704 | 0.9704 | 0.9705 | 0.9704 |
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+ | 0.2136 | 2.0 | 630 | 0.1504 | 0.9722 | 0.9723 | 0.9739 | 0.9722 |
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+ | 0.2136 | 3.0 | 945 | 0.1670 | 0.9722 | 0.9723 | 0.9730 | 0.9722 |
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+ | 0.075 | 4.0 | 1260 | 0.1422 | 0.9796 | 0.9796 | 0.9797 | 0.9796 |
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+ | 0.0211 | 5.0 | 1575 | 0.1496 | 0.9741 | 0.9741 | 0.9742 | 0.9741 |
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+ | 0.0211 | 6.0 | 1890 | 0.1505 | 0.9741 | 0.9740 | 0.9741 | 0.9741 |
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+ | 0.012 | 7.0 | 2205 | 0.1661 | 0.9778 | 0.9778 | 0.9779 | 0.9778 |
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+ | 0.0038 | 8.0 | 2520 | 0.1558 | 0.9778 | 0.9778 | 0.9779 | 0.9778 |
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+ | 0.0038 | 9.0 | 2835 | 0.1557 | 0.9741 | 0.9740 | 0.9741 | 0.9741 |
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+ | 0.0049 | 10.0 | 3150 | 0.1574 | 0.9741 | 0.9740 | 0.9741 | 0.9741 |
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  ### Framework versions
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  - Transformers 4.51.3
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  - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.1
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  - Tokenizers 0.21.1
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