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_1310seed7
+  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_1310seed7
+
+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: 0.4338
+- Precisions: 0.8841
+- Recall: 0.8144
+- F-measure: 0.8437
+- Accuracy: 0.9402
+
+## 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: 7
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.4441        | 1.0   | 236  | 0.2809          | 0.8700     | 0.7020 | 0.7222    | 0.9118   |
+| 0.2161        | 2.0   | 472  | 0.2575          | 0.8741     | 0.7653 | 0.7818    | 0.9250   |
+| 0.1277        | 3.0   | 708  | 0.2644          | 0.8331     | 0.8115 | 0.8175    | 0.9299   |
+| 0.0891        | 4.0   | 944  | 0.2614          | 0.8671     | 0.8120 | 0.8341    | 0.9390   |
+| 0.0559        | 5.0   | 1180 | 0.3259          | 0.8806     | 0.7923 | 0.8279    | 0.9332   |
+| 0.0322        | 6.0   | 1416 | 0.3770          | 0.8807     | 0.8064 | 0.8333    | 0.9373   |
+| 0.0241        | 7.0   | 1652 | 0.4548          | 0.8430     | 0.8213 | 0.8223    | 0.9323   |
+| 0.0162        | 8.0   | 1888 | 0.3705          | 0.8493     | 0.8239 | 0.8343    | 0.9405   |
+| 0.0099        | 9.0   | 2124 | 0.4498          | 0.8463     | 0.8094 | 0.8245    | 0.9369   |
+| 0.0069        | 10.0  | 2360 | 0.4445          | 0.8606     | 0.8141 | 0.8328    | 0.9381   |
+| 0.0062        | 11.0  | 2596 | 0.4429          | 0.8880     | 0.8075 | 0.8405    | 0.9383   |
+| 0.0045        | 12.0  | 2832 | 0.4496          | 0.8794     | 0.8017 | 0.8322    | 0.9393   |
+| 0.0041        | 13.0  | 3068 | 0.4338          | 0.8841     | 0.8144 | 0.8437    | 0.9402   |
+| 0.0029        | 14.0  | 3304 | 0.4401          | 0.8850     | 0.8135 | 0.8437    | 0.9400   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

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