End of training
Browse files- README.md +98 -0
- model.safetensors +1 -1
README.md
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---
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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
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model-index:
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- name: Assignment4-modernbert-optuna-tuned
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Assignment4-modernbert-optuna-tuned
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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: 0.4052
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- Accuracy: 0.9739
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 6e-05
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 12.0069 | 0.2096 | 100 | 5.0978 | 0.7661 |
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| 3.4684 | 0.4193 | 200 | 2.0509 | 0.9206 |
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| 1.8229 | 0.6289 | 300 | 1.5597 | 0.9452 |
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| 1.4306 | 0.8386 | 400 | 1.2236 | 0.9535 |
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| 1.1 | 1.0482 | 500 | 1.0535 | 0.9613 |
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| 0.8086 | 1.2579 | 600 | 0.8738 | 0.9665 |
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| 0.7382 | 1.4675 | 700 | 0.8479 | 0.9597 |
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| 0.6412 | 1.6771 | 800 | 0.7502 | 0.9677 |
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| 0.6152 | 1.8868 | 900 | 0.7203 | 0.9687 |
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| 0.5391 | 2.0964 | 1000 | 0.6897 | 0.9652 |
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| 0.4475 | 2.3061 | 1100 | 0.6466 | 0.9713 |
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| 0.4256 | 2.5157 | 1200 | 0.6227 | 0.9674 |
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| 0.3984 | 2.7254 | 1300 | 0.5820 | 0.9719 |
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| 0.3809 | 2.9350 | 1400 | 0.5644 | 0.9710 |
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| 0.3424 | 3.1447 | 1500 | 0.5406 | 0.9710 |
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| 0.3176 | 3.3543 | 1600 | 0.5278 | 0.9723 |
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| 0.2981 | 3.5639 | 1700 | 0.5222 | 0.9719 |
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| 0.2939 | 3.7736 | 1800 | 0.4962 | 0.9729 |
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| 0.2858 | 3.9832 | 1900 | 0.4803 | 0.9739 |
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| 0.2494 | 4.1929 | 2000 | 0.4714 | 0.9742 |
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| 0.235 | 4.4025 | 2100 | 0.4656 | 0.9729 |
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| 0.2318 | 4.6122 | 2200 | 0.4559 | 0.9735 |
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| 0.2298 | 4.8218 | 2300 | 0.4485 | 0.9723 |
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| 0.2276 | 5.0314 | 2400 | 0.4356 | 0.9752 |
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| 0.1969 | 5.2411 | 2500 | 0.4308 | 0.9729 |
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| 0.1937 | 5.4507 | 2600 | 0.4225 | 0.9739 |
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| 0.1883 | 5.6604 | 2700 | 0.4213 | 0.9739 |
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| 0.1873 | 5.8700 | 2800 | 0.4149 | 0.9748 |
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| 0.181 | 6.0797 | 2900 | 0.4126 | 0.9758 |
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| 0.1725 | 6.2893 | 3000 | 0.4111 | 0.9739 |
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| 0.1649 | 6.4990 | 3100 | 0.4092 | 0.9752 |
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| 0.1638 | 6.7086 | 3200 | 0.4071 | 0.9742 |
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| 0.1614 | 6.9182 | 3300 | 0.4064 | 0.9742 |
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| 0.1591 | 7.1279 | 3400 | 0.4058 | 0.9735 |
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| 0.1541 | 7.3375 | 3500 | 0.4061 | 0.9735 |
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| 0.157 | 7.5472 | 3600 | 0.4053 | 0.9739 |
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| 0.1564 | 7.7568 | 3700 | 0.4052 | 0.9739 |
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| 0.1541 | 7.9665 | 3800 | 0.4052 | 0.9739 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 598898116
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d5fae8ef00d389086504dde3d25107248c26fe1abded394201590a0a536c3d9
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size 598898116
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