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: Bert-Multilingual-Balanced-trimmed-10epoch
+  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. -->
+
+# Bert-Multilingual-Balanced-trimmed-10epoch
+
+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: 1.5212
+- Accuracy: 0.48
+
+## 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: 2e-05
+- train_batch_size: 10
+- eval_batch_size: 10
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 4    | 1.1339          | 0.32     |
+| No log        | 2.0   | 8    | 1.0996          | 0.48     |
+| No log        | 3.0   | 12   | 1.1665          | 0.36     |
+| No log        | 4.0   | 16   | 1.1651          | 0.44     |
+| No log        | 5.0   | 20   | 1.1689          | 0.4      |
+| No log        | 6.0   | 24   | 1.2189          | 0.32     |
+| No log        | 7.0   | 28   | 1.1908          | 0.44     |
+| No log        | 8.0   | 32   | 1.1355          | 0.52     |
+| No log        | 9.0   | 36   | 1.2280          | 0.4      |
+| No log        | 10.0  | 40   | 1.3308          | 0.4      |
+| No log        | 11.0  | 44   | 1.3048          | 0.48     |
+| No log        | 12.0  | 48   | 1.3897          | 0.44     |
+| No log        | 13.0  | 52   | 1.3561          | 0.44     |
+| No log        | 14.0  | 56   | 1.3551          | 0.52     |
+| No log        | 15.0  | 60   | 1.5895          | 0.4      |
+| No log        | 16.0  | 64   | 1.7362          | 0.36     |
+| No log        | 17.0  | 68   | 1.6214          | 0.4      |
+| No log        | 18.0  | 72   | 1.5556          | 0.4      |
+| No log        | 19.0  | 76   | 1.5258          | 0.48     |
+| No log        | 20.0  | 80   | 1.5212          | 0.48     |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 1.13.1
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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