End of training

README.md

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+---
+base_model: MiMe-MeMo/MeMo-BERT-03
+tags:
+- generated_from_trainer
+model-index:
+- name: MeMo_BERT-SA
+  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_BERT-SA
+
+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: 0.5938
+- F1-score: 0.7727
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 265  | 0.5938          | 0.7727   |
+| 0.591         | 2.0   | 530  | 0.9487          | 0.7515   |
+| 0.591         | 3.0   | 795  | 1.1555          | 0.7375   |
+| 0.1867        | 4.0   | 1060 | 1.2892          | 0.7773   |
+| 0.1867        | 5.0   | 1325 | 1.3791          | 0.7929   |
+| 0.0582        | 6.0   | 1590 | 1.5941          | 0.7810   |
+| 0.0582        | 7.0   | 1855 | 1.8173          | 0.7751   |
+| 0.0166        | 8.0   | 2120 | 1.7725          | 0.7885   |
+| 0.0166        | 9.0   | 2385 | 1.7669          | 0.7939   |
+| 0.0102        | 10.0  | 2650 | 1.7915          | 0.7933   |
+| 0.0102        | 11.0  | 2915 | 1.9139          | 0.7848   |
+| 0.0088        | 12.0  | 3180 | 1.9446          | 0.7816   |
+| 0.0088        | 13.0  | 3445 | 1.9794          | 0.7793   |
+| 0.0124        | 14.0  | 3710 | 1.9904          | 0.7946   |
+| 0.0124        | 15.0  | 3975 | 2.0188          | 0.7831   |
+| 0.0095        | 16.0  | 4240 | 2.0517          | 0.7850   |
+| 0.0001        | 17.0  | 4505 | 2.0427          | 0.7793   |
+| 0.0001        | 18.0  | 4770 | 2.0205          | 0.7902   |
+| 0.0           | 19.0  | 5035 | 2.0280          | 0.7847   |
+| 0.0           | 20.0  | 5300 | 2.0466          | 0.7793   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

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runs/Feb14_09-29-36_442645e84a6c/events.out.tfevents.1707908235.442645e84a6c.464.1

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