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: ConcSeqBERT-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. -->
+
+# ConcSeqBERT-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: 0.4742
+- Accuracy: 0.7850
+- F1: 0.7847
+
+## 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  | 0.5586          | 0.7290   | 0.7289 |
+| 0.6851        | 2.0   | 912  | 0.4842          | 0.7718   | 0.7703 |
+| 0.5396        | 3.0   | 1368 | 0.4742          | 0.7850   | 0.7847 |
+| 0.448         | 4.0   | 1824 | 0.5257          | 0.7932   | 0.7920 |
+| 0.3934        | 5.0   | 2280 | 0.6493          | 0.7801   | 0.7779 |
+| 0.3476        | 6.0   | 2736 | 0.9150          | 0.7644   | 0.7644 |
+| 0.2971        | 7.0   | 3192 | 1.1450          | 0.7727   | 0.7723 |
+| 0.2307        | 8.0   | 3648 | 1.0960          | 0.7743   | 0.7743 |
+| 0.2112        | 9.0   | 4104 | 1.2912          | 0.7842   | 0.7842 |
+| 0.1757        | 10.0  | 4560 | 1.3925          | 0.7759   | 0.7759 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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