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: 16class_combo_2409_v5
+  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. -->
+
+# 16class_combo_2409_v5
+
+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: 0.9548
+
+## 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   | 494  | 0.9033          | 0.7660   |
+| 1.666         | 2.0   | 988  | 0.5476          | 0.8544   |
+| 0.7826        | 3.0   | 1482 | 0.3627          | 0.9018   |
+| 0.529         | 4.0   | 1976 | 0.2893          | 0.9206   |
+| 0.4172        | 5.0   | 2470 | 0.2254          | 0.9379   |
+| 0.3246        | 6.0   | 2964 | 0.1883          | 0.9452   |
+| 0.2703        | 7.0   | 3458 | 0.1646          | 0.9529   |
+| 0.233         | 8.0   | 3952 | 0.1552          | 0.9548   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3