End of training

README.md

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+---
+base_model: MiMe-MeMo/MeMo-BERT-02
+tags:
+- generated_from_trainer
+model-index:
+- name: MeMo_BERT-SA_2
+  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_2
+
+This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-02](https://huggingface.co/MiMe-MeMo/MeMo-BERT-02) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4358
+- F1-score: 0.5924
+
+## 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  | 1.0171          | 0.5029   |
+| 0.9806        | 2.0   | 530  | 0.9884          | 0.5416   |
+| 0.9806        | 3.0   | 795  | 1.1255          | 0.5477   |
+| 0.6405        | 4.0   | 1060 | 1.0771          | 0.5716   |
+| 0.6405        | 5.0   | 1325 | 1.4358          | 0.5924   |
+| 0.3872        | 6.0   | 1590 | 2.0203          | 0.5780   |
+| 0.3872        | 7.0   | 1855 | 2.4784          | 0.5730   |
+| 0.2014        | 8.0   | 2120 | 2.7627          | 0.5735   |
+| 0.2014        | 9.0   | 2385 | 3.1488          | 0.5733   |
+| 0.0888        | 10.0  | 2650 | 3.2253          | 0.5636   |
+| 0.0888        | 11.0  | 2915 | 3.4722          | 0.5488   |
+| 0.0563        | 12.0  | 3180 | 3.6568          | 0.5718   |
+| 0.0563        | 13.0  | 3445 | 3.8553          | 0.5676   |
+| 0.0188        | 14.0  | 3710 | 3.8721          | 0.5572   |
+| 0.0188        | 15.0  | 3975 | 3.9256          | 0.5782   |
+| 0.0021        | 16.0  | 4240 | 3.9991          | 0.5802   |
+| 0.0032        | 17.0  | 4505 | 4.0370          | 0.5798   |
+| 0.0032        | 18.0  | 4770 | 4.1400          | 0.5746   |
+| 0.0012        | 19.0  | 5035 | 4.1422          | 0.5740   |
+| 0.0012        | 20.0  | 5300 | 4.1453          | 0.5742   |
+
+
+### 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/Mar15_10-13-39_460c4293bb46/events.out.tfevents.1710499304.460c4293bb46.1677.1

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