End of training

README.md

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+---
+base_model: MiMe-MeMo/MeMo-BERT-03
+tags:
+- generated_from_trainer
+model-index:
+- name: memo_ND
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# memo_ND
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.0540
+- F1-score: 0.9906
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1-score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3018        | 1.0   | 1058  | 0.1626          | 0.9645   |
+| 0.0696        | 2.0   | 2116  | 0.0855          | 0.9859   |
+| 0.0362        | 3.0   | 3174  | 0.0817          | 0.9853   |
+| 0.0291        | 4.0   | 4232  | 0.0540          | 0.9906   |
+| 0.018         | 5.0   | 5290  | 0.1314          | 0.9806   |
+| 0.0187        | 6.0   | 6348  | 0.1398          | 0.9779   |
+| 0.0074        | 7.0   | 7406  | 0.1220          | 0.9839   |
+| 0.0137        | 8.0   | 8464  | 0.0794          | 0.9906   |
+| 0.0034        | 9.0   | 9522  | 0.1152          | 0.9866   |
+| 0.0001        | 10.0  | 10580 | 0.1396          | 0.9839   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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