End of training
Browse files- README.md +63 -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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model-index:
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- name: ModernBERT-base-ft-fineweb-edu-annotations-8k
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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-base-ft-fineweb-edu-annotations-8k
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1265
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- F1 Score: 0.7508
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- Precision Score: 0.7556
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- Recall Score: 0.7485
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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: 8e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision Score | Recall Score |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------:|
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| 0.6615 | 1.0 | 6374 | 0.5893 | 0.7574 | 0.7746 | 0.7510 |
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| 0.4344 | 2.0 | 12748 | 0.6108 | 0.7600 | 0.7644 | 0.7572 |
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| 0.149 | 3.0 | 19122 | 1.1265 | 0.7508 | 0.7556 | 0.7485 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 598452088
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version https://git-lfs.github.com/spec/v1
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size 598452088
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