Training completed!

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: SingSeqBERT-UCIRetail
+  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. -->
+
+# SingSeqBERT-UCIRetail
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4882
+- Accuracy: 0.7685
+- F1: 0.7672
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 456  | 0.5482          | 0.7479   | 0.7425 |
+| 0.6336        | 2.0   | 912  | 0.5108          | 0.7570   | 0.7569 |
+| 0.5437        | 3.0   | 1368 | 0.4882          | 0.7685   | 0.7672 |
+| 0.4872        | 4.0   | 1824 | 0.5918          | 0.7825   | 0.7825 |
+| 0.4329        | 5.0   | 2280 | 0.6156          | 0.7652   | 0.7652 |
+| 0.3957        | 6.0   | 2736 | 0.6598          | 0.7685   | 0.7683 |
+| 0.3439        | 7.0   | 3192 | 0.7881          | 0.7768   | 0.7756 |
+| 0.3068        | 8.0   | 3648 | 0.9189          | 0.7545   | 0.7536 |
+| 0.2635        | 9.0   | 4104 | 1.0319          | 0.7619   | 0.7619 |
+| 0.2305        | 10.0  | 4560 | 1.0976          | 0.7586   | 0.7586 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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