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modernbert-tr-classifier

Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +12 -8
  2. model.safetensors +1 -1
  3. runs/Jan23_01-42-13_ultramarine/events.out.tfevents.1737585734.ultramarine.3375196.0 +2 -2
README.md CHANGED
@@ -19,9 +19,9 @@ 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: 0.9380
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- - F1: 0.8584
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- - Accuracy: 0.8571
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  ## Model description
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@@ -46,16 +46,20 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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- | 1.2496 | 1.0 | 146 | 0.8292 | 0.7104 | 0.7061 |
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- | 0.4307 | 2.0 | 292 | 0.6250 | 0.8275 | 0.8245 |
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- | 0.1552 | 3.0 | 438 | 0.6152 | 0.8503 | 0.8490 |
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- | 0.0236 | 4.0 | 584 | 0.9380 | 0.8584 | 0.8571 |
 
 
 
 
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  ### Framework versions
 
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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: 0.8455
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+ - F1: 0.8730
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+ - Accuracy: 0.8735
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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+ | 1.3023 | 1.0 | 146 | 1.0178 | 0.7250 | 0.7184 |
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+ | 0.5327 | 2.0 | 292 | 0.5449 | 0.8415 | 0.8408 |
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+ | 0.2336 | 3.0 | 438 | 0.5080 | 0.8685 | 0.8694 |
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+ | 0.1116 | 4.0 | 584 | 0.6585 | 0.8489 | 0.8490 |
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+ | 0.0399 | 5.0 | 730 | 1.0568 | 0.8415 | 0.8408 |
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+ | 0.0137 | 6.0 | 876 | 0.9445 | 0.8526 | 0.8531 |
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+ | 0.0074 | 7.0 | 1022 | 0.8898 | 0.8656 | 0.8653 |
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+ | 0.0022 | 8.0 | 1168 | 0.8455 | 0.8730 | 0.8735 |
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  ### Framework versions
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