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_v1
+  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_v1
+
+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: 0.1552
+- Accuracy: 0.9599
+
+## 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   | 395  | 1.0920          | 0.7269   |
+| 1.646         | 2.0   | 790  | 0.6104          | 0.8395   |
+| 0.7597        | 3.0   | 1185 | 0.3893          | 0.9039   |
+| 0.5051        | 4.0   | 1580 | 0.3032          | 0.9178   |
+| 0.5051        | 5.0   | 1975 | 0.2399          | 0.9359   |
+| 0.3557        | 6.0   | 2370 | 0.1941          | 0.9516   |
+| 0.2714        | 7.0   | 2765 | 0.1673          | 0.9569   |
+| 0.2116        | 8.0   | 3160 | 0.1552          | 0.9599   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3