End of training
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- 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: EuroBERT/EuroBERT-210m
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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: eurobert_Eau
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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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# eurobert_Eau
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This model is a fine-tuned version of [EuroBERT/EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1286
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- Accuracy: 0.9508
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- F1: 0.9491
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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: 5e-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 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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- num_epochs: 30
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- mixed_precision_training: Native AMP
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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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| 0.8035 | 1.0 | 67 | 0.4268 | 0.8809 | 0.8836 |
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| 0.3476 | 2.0 | 134 | 0.2320 | 0.9168 | 0.9174 |
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| 0.263 | 3.0 | 201 | 0.2839 | 0.9031 | 0.9010 |
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| 0.2119 | 4.0 | 268 | 0.1522 | 0.9385 | 0.9393 |
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| 0.191 | 5.0 | 335 | 0.1765 | 0.9314 | 0.9296 |
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| 0.1797 | 6.0 | 402 | 0.1228 | 0.9480 | 0.9474 |
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| 0.1639 | 7.0 | 469 | 0.1065 | 0.9485 | 0.9500 |
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| 0.1422 | 8.0 | 536 | 0.1347 | 0.9428 | 0.9423 |
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| 0.1237 | 9.0 | 603 | 0.1047 | 0.9504 | 0.9510 |
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| 0.1119 | 10.0 | 670 | 0.1286 | 0.9508 | 0.9491 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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model.safetensors
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