End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- accuracy
+model-index:
+- name: multibert_seed36_1311
+  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. -->
+
+# multibert_seed36_1311
+
+This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4419
+- Precisions: 0.8943
+- Recall: 0.8153
+- F-measure: 0.8493
+- Accuracy: 0.9385
+
+## 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: 7.5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 36
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 14
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.4359        | 1.0   | 236  | 0.3021          | 0.8474     | 0.6948 | 0.7163    | 0.9077   |
+| 0.2293        | 2.0   | 472  | 0.2484          | 0.8612     | 0.7522 | 0.7842    | 0.9258   |
+| 0.1373        | 3.0   | 708  | 0.3033          | 0.7969     | 0.7892 | 0.7776    | 0.9250   |
+| 0.0881        | 4.0   | 944  | 0.3218          | 0.8153     | 0.8103 | 0.8094    | 0.9299   |
+| 0.0612        | 5.0   | 1180 | 0.3208          | 0.8357     | 0.8151 | 0.8225    | 0.9315   |
+| 0.0378        | 6.0   | 1416 | 0.3553          | 0.8919     | 0.8173 | 0.8493    | 0.9405   |
+| 0.0283        | 7.0   | 1652 | 0.4053          | 0.8575     | 0.8070 | 0.8270    | 0.9364   |
+| 0.0229        | 8.0   | 1888 | 0.3789          | 0.8639     | 0.8236 | 0.8398    | 0.9354   |
+| 0.0149        | 9.0   | 2124 | 0.4101          | 0.8856     | 0.8070 | 0.8387    | 0.9376   |
+| 0.0073        | 10.0  | 2360 | 0.4419          | 0.8943     | 0.8153 | 0.8493    | 0.9385   |
+| 0.0036        | 11.0  | 2596 | 0.4621          | 0.8882     | 0.8045 | 0.8392    | 0.9371   |
+| 0.0045        | 12.0  | 2832 | 0.4494          | 0.8913     | 0.8093 | 0.8440    | 0.9383   |
+| 0.0034        | 13.0  | 3068 | 0.4420          | 0.8795     | 0.8152 | 0.8422    | 0.9395   |
+| 0.0014        | 14.0  | 3304 | 0.4494          | 0.8838     | 0.8100 | 0.8404    | 0.9390   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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runs/Nov14_08-24-21_4376ee55f323/events.out.tfevents.1699950759.4376ee55f323.1225.1

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