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_MeMo-BERT-03_01
+  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_MeMo-BERT-03_01
+
+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: 2.3157
+- F1-score: 0.7821
+
+## 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   | 297  | 0.7332          | 0.7373   |
+| 0.5945        | 2.0   | 594  | 0.9941          | 0.7644   |
+| 0.5945        | 3.0   | 891  | 1.1745          | 0.7714   |
+| 0.2243        | 4.0   | 1188 | 1.6828          | 0.7210   |
+| 0.2243        | 5.0   | 1485 | 1.6114          | 0.7308   |
+| 0.0807        | 6.0   | 1782 | 1.9495          | 0.7515   |
+| 0.0133        | 7.0   | 2079 | 2.0289          | 0.7536   |
+| 0.0133        | 8.0   | 2376 | 2.1528          | 0.7566   |
+| 0.0002        | 9.0   | 2673 | 2.2011          | 0.7560   |
+| 0.0002        | 10.0  | 2970 | 2.2830          | 0.7351   |
+| 0.0199        | 11.0  | 3267 | 2.3461          | 0.7456   |
+| 0.0103        | 12.0  | 3564 | 2.2212          | 0.7533   |
+| 0.0103        | 13.0  | 3861 | 2.2322          | 0.7622   |
+| 0.0063        | 14.0  | 4158 | 2.3226          | 0.7599   |
+| 0.0063        | 15.0  | 4455 | 2.3019          | 0.7561   |
+| 0.0026        | 16.0  | 4752 | 2.2407          | 0.7675   |
+| 0.0           | 17.0  | 5049 | 2.2745          | 0.7715   |
+| 0.0           | 18.0  | 5346 | 2.3114          | 0.7716   |
+| 0.0002        | 19.0  | 5643 | 2.3157          | 0.7821   |
+| 0.0002        | 20.0  | 5940 | 2.3187          | 0.7749   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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runs/Mar18_12-23-04_086076f4e303/events.out.tfevents.1710766442.086076f4e303.26852.8

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