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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-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: modernbert_large_likes_predictor |
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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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# modernbert_large_likes_predictor |
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2319 |
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- Rmse: 0.2319 |
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- Mae: 0.3442 |
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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: 6.000000000000001e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 12 |
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- total_train_batch_size: 24 |
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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: 0.15 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:| |
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| 3.0522 | 0.4971 | 150 | 0.3021 | 0.3021 | 0.4136 | |
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| 3.7437 | 0.9942 | 300 | 0.3355 | 0.3355 | 0.4575 | |
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| 3.0905 | 1.4905 | 450 | 0.2626 | 0.2626 | 0.3680 | |
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| 1.7883 | 1.9876 | 600 | 0.2319 | 0.2319 | 0.3442 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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