End of training
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README.md
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---
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base_model: MiMe-MeMo/MeMo-BERT-03
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tags:
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- generated_from_trainer
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model-index:
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- name: Noise_MeMo_BERT-3_02
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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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# Noise_MeMo_BERT-3_02
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This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0729
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- F1-score: 0.6452
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1-score |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.095 | 1.0 | 915 | 0.0707 | 0.5373 |
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| 0.0532 | 2.0 | 1830 | 0.0877 | 0.4286 |
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| 0.0317 | 3.0 | 2745 | 0.0951 | 0.4889 |
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| 0.0196 | 4.0 | 3660 | 0.1114 | 0.3590 |
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| 0.0265 | 5.0 | 4575 | 0.0810 | 0.6333 |
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| 0.0118 | 6.0 | 5490 | 0.1097 | 0.4783 |
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| 0.0247 | 7.0 | 6405 | 0.1153 | 0.4583 |
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| 0.0255 | 8.0 | 7320 | 0.0781 | 0.5634 |
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| 0.0242 | 9.0 | 8235 | 0.1156 | 0.5455 |
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| 0.0423 | 10.0 | 9150 | 0.1186 | 0.4 |
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| 0.0246 | 11.0 | 10065 | 0.1057 | 0.5000 |
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| 0.0224 | 12.0 | 10980 | 0.0998 | 0.56 |
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| 0.0168 | 13.0 | 11895 | 0.0729 | 0.6452 |
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| 0.0106 | 14.0 | 12810 | 0.1171 | 0.4444 |
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| 0.0097 | 15.0 | 13725 | 0.0735 | 0.5818 |
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| 0.0187 | 16.0 | 14640 | 0.0943 | 0.5417 |
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| 0.0128 | 17.0 | 15555 | 0.1011 | 0.5417 |
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| 0.0098 | 18.0 | 16470 | 0.1029 | 0.5714 |
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| 0.0116 | 19.0 | 17385 | 0.0949 | 0.6182 |
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| 0.0084 | 20.0 | 18300 | 0.0956 | 0.6154 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 497814104
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version https://git-lfs.github.com/spec/v1
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size 497814104
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runs/Apr17_09-47-44_3c7bc1c723e5/events.out.tfevents.1713352268.3c7bc1c723e5.3179.1
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version https://git-lfs.github.com/spec/v1
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size 417
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