End of training
Browse files- README.md +77 -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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- f1
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model-index:
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- name: modernbert-wine-classification
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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-wine-classification
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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: 0.6070
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- Accuracy: 0.9299
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- F1: 0.9302
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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: 0.0001
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 42
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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: 0.08
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| 1.6137 | 0.3460 | 100 | 0.6508 | 0.7896 | 0.7990 |
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| 0.7728 | 0.6920 | 200 | 0.5313 | 0.8152 | 0.8313 |
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| 0.5905 | 1.0381 | 300 | 0.5167 | 0.8502 | 0.8655 |
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| 0.5345 | 1.3841 | 400 | 0.4394 | 0.8721 | 0.8786 |
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| 0.4333 | 1.7301 | 500 | 0.3986 | 0.8704 | 0.8764 |
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| 0.4229 | 2.0761 | 600 | 0.4473 | 0.9003 | 0.9005 |
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| 0.2329 | 2.4221 | 700 | 0.3805 | 0.8971 | 0.9000 |
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| 0.2324 | 2.7682 | 800 | 0.4140 | 0.9058 | 0.9069 |
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| 0.1957 | 3.1142 | 900 | 0.6101 | 0.9235 | 0.9232 |
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| 0.0923 | 3.4602 | 1000 | 0.4950 | 0.9206 | 0.9218 |
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| 0.0976 | 3.8062 | 1100 | 0.5512 | 0.9307 | 0.9304 |
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| 0.0621 | 4.1522 | 1200 | 0.5888 | 0.9299 | 0.9307 |
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| 0.037 | 4.4983 | 1300 | 0.6032 | 0.9287 | 0.9290 |
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| 0.0379 | 4.8443 | 1400 | 0.6070 | 0.9299 | 0.9302 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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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 598458240
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version https://git-lfs.github.com/spec/v1
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oid sha256:a31fe6637a2380968be253e7da611bec1f2808c58ff07549ee2341fa913a4dc2
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size 598458240
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