End of training

README.md

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+---
+base_model: MiMe-MeMo/MeMo-BERT-03
+tags:
+- generated_from_trainer
+model-index:
+- name: memobert_NC
+  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. -->
+
+# memobert_NC
+
+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: 0.3259
+- F1-score: 0.8947
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 40   | 0.3862          | 0.7719   |
+| No log        | 2.0   | 80   | 0.3259          | 0.8947   |
+| No log        | 3.0   | 120  | 0.3613          | 0.8725   |
+| No log        | 4.0   | 160  | 0.3348          | 0.8947   |
+| No log        | 5.0   | 200  | 0.4362          | 0.8615   |
+| No log        | 6.0   | 240  | 0.3633          | 0.8902   |
+| No log        | 7.0   | 280  | 0.3475          | 0.8921   |
+| No log        | 8.0   | 320  | 0.4318          | 0.8835   |
+| No log        | 9.0   | 360  | 0.4266          | 0.8812   |
+| No log        | 10.0  | 400  | 0.4330          | 0.8902   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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