End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 16_combo_webscrap_1709_v2_reduce_others
+  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. -->
+
+# 16_combo_webscrap_1709_v2_reduce_others
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1501
+- Accuracy: 0.9636
+
+## 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: 1e-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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 363  | 1.0481          | 0.7263   |
+| 1.5287        | 2.0   | 726  | 0.5613          | 0.8655   |
+| 0.6856        | 3.0   | 1089 | 0.3666          | 0.9121   |
+| 0.6856        | 4.0   | 1452 | 0.2880          | 0.9284   |
+| 0.4313        | 5.0   | 1815 | 0.2187          | 0.9464   |
+| 0.3097        | 6.0   | 2178 | 0.1992          | 0.9505   |
+| 0.2454        | 7.0   | 2541 | 0.1627          | 0.9598   |
+| 0.2454        | 8.0   | 2904 | 0.1501          | 0.9636   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3