End of training
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README.md
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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.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.0027 | 6.0 | 1878 | 0.6015 | 0.9216 | 0.9211 |
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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: 0.2692
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- Accuracy: 0.9139
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- F1: 0.9144
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.3458 | 1.0 | 313 | 0.2765 | 0.9016 | 0.9012 |
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| 0.1553 | 2.0 | 626 | 0.2692 | 0.9139 | 0.9144 |
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| 0.069 | 3.0 | 939 | 0.4291 | 0.9120 | 0.9115 |
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| 0.022 | 4.0 | 1252 | 0.5629 | 0.9129 | 0.9123 |
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| 0.0066 | 5.0 | 1565 | 0.5950 | 0.9229 | 0.9229 |
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### Framework versions
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all_results.json
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{
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"eval_f1": 0.
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"eval_samples_per_second":
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"eval_steps_per_second": 12.
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}
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9139473684210526,
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"eval_f1": 0.9144026147119766,
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"eval_loss": 0.2692198157310486,
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"eval_runtime": 19.092,
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"eval_samples_per_second": 398.073,
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"eval_steps_per_second": 12.466
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}
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model.safetensors
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runs/Oct03_17-15-21_ce7fa55b11ce/events.out.tfevents.1759511727.ce7fa55b11ce.30673.3
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test_results.json
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{
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"epoch":
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"eval_accuracy": 0.
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"eval_f1": 0.
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"eval_samples_per_second":
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"eval_steps_per_second": 12.
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9139473684210526,
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"eval_f1": 0.9144026147119766,
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"eval_loss": 0.2692198157310486,
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"eval_runtime": 19.092,
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"eval_samples_per_second": 398.073,
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"eval_steps_per_second": 12.466
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