End of training
Browse files- README.md +76 -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: 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: eurobert210m_Sentiment_v2
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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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# eurobert210m_Sentiment_v2
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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: 0.0163
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- Accuracy: 0.9964
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- F1: 0.9964
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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: 100
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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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| 0.3156 | 1.0 | 407 | 0.1217 | 0.9585 | 0.9586 |
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| 0.1475 | 2.0 | 814 | 0.0722 | 0.9774 | 0.9775 |
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| 0.0939 | 3.0 | 1221 | 0.0426 | 0.9869 | 0.9870 |
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| 0.0739 | 4.0 | 1628 | 0.0341 | 0.9899 | 0.9899 |
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| 0.0592 | 5.0 | 2035 | 0.0280 | 0.9912 | 0.9912 |
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| 0.0389 | 6.0 | 2442 | 0.0225 | 0.9936 | 0.9936 |
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| 0.0333 | 7.0 | 2849 | 0.0141 | 0.9955 | 0.9955 |
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| 0.0335 | 8.0 | 3256 | 0.0322 | 0.9930 | 0.9930 |
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| 0.0257 | 9.0 | 3663 | 0.0139 | 0.9957 | 0.9957 |
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| 0.0219 | 10.0 | 4070 | 0.0098 | 0.9969 | 0.9969 |
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| 0.0192 | 11.0 | 4477 | 0.0127 | 0.9959 | 0.9959 |
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| 0.0253 | 12.0 | 4884 | 0.0284 | 0.9926 | 0.9926 |
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| 0.0211 | 13.0 | 5291 | 0.0163 | 0.9964 | 0.9964 |
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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 3.4.1
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- Tokenizers 0.21.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 849445136
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version https://git-lfs.github.com/spec/v1
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size 849445136
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