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ModernBERT_category

Text Classification
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Joblib
Safetensors
modernbert
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: CocoRoF/ModernBERT-SimCSE-multitask_v03-distill
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ModernBERT_category
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+ results: []
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+ ---
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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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+
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+ # ModernBERT_category
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+
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+ This model is a fine-tuned version of [CocoRoF/ModernBERT-SimCSE-multitask_v03-distill](https://huggingface.co/CocoRoF/ModernBERT-SimCSE-multitask_v03-distill) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3204
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 1024
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+ - total_eval_batch_size: 32
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 15.608 | 0.0444 | 1000 | 0.4726 |
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+ | 14.207 | 0.0888 | 2000 | 0.4257 |
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+ | 12.9331 | 0.1331 | 3000 | 0.4045 |
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+ | 12.5004 | 0.1775 | 4000 | 0.3896 |
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+ | 12.5729 | 0.2219 | 5000 | 0.3786 |
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+ | 12.2146 | 0.2663 | 6000 | 0.3713 |
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+ | 11.8243 | 0.3107 | 7000 | 0.3632 |
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+ | 11.3651 | 0.3550 | 8000 | 0.3578 |
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+ | 11.7742 | 0.3994 | 9000 | 0.3524 |
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+ | 11.022 | 0.4438 | 10000 | 0.3483 |
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+ | 10.871 | 0.4882 | 11000 | 0.3453 |
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+ | 11.24 | 0.5326 | 12000 | 0.3404 |
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+ | 10.6222 | 0.5769 | 13000 | 0.3380 |
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+ | 10.9927 | 0.6213 | 14000 | 0.3354 |
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+ | 10.8912 | 0.6657 | 15000 | 0.3330 |
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+ | 10.7683 | 0.7101 | 16000 | 0.3311 |
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+ | 10.4059 | 0.7545 | 17000 | 0.3286 |
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+ | 10.4617 | 0.7988 | 18000 | 0.3258 |
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+ | 10.5632 | 0.8432 | 19000 | 0.3247 |
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+ | 9.9193 | 0.8876 | 20000 | 0.3231 |
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+ | 9.7854 | 0.9320 | 21000 | 0.3205 |
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+ | 10.3546 | 0.9764 | 22000 | 0.3204 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.3.1
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+ - Tokenizers 0.21.0
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