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_seed37_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_seed37_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: 0.3744
+- Precisions: 0.8548
+- Recall: 0.8200
+- F-measure: 0.8358
+- Accuracy: 0.9371
+
+## 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: 37
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
+| 0.4464        | 1.0   | 236  | 0.2769          | 0.8836     | 0.7193 | 0.7495    | 0.9197   |
+| 0.2278        | 2.0   | 472  | 0.2576          | 0.8850     | 0.7524 | 0.7965    | 0.9296   |
+| 0.1314        | 3.0   | 708  | 0.3066          | 0.8740     | 0.7725 | 0.8059    | 0.9284   |
+| 0.0964        | 4.0   | 944  | 0.3072          | 0.8267     | 0.7989 | 0.8054    | 0.9311   |
+| 0.0612        | 5.0   | 1180 | 0.3229          | 0.8601     | 0.8044 | 0.8297    | 0.9340   |
+| 0.0446        | 6.0   | 1416 | 0.3647          | 0.8433     | 0.7686 | 0.7952    | 0.9320   |
+| 0.0319        | 7.0   | 1652 | 0.3744          | 0.8548     | 0.8200 | 0.8358    | 0.9371   |
+| 0.0192        | 8.0   | 1888 | 0.4170          | 0.8724     | 0.7854 | 0.8176    | 0.9359   |
+| 0.0132        | 9.0   | 2124 | 0.3994          | 0.8723     | 0.7887 | 0.8178    | 0.9371   |
+| 0.0099        | 10.0  | 2360 | 0.4482          | 0.8750     | 0.8026 | 0.8327    | 0.9373   |
+| 0.005         | 11.0  | 2596 | 0.4510          | 0.8731     | 0.7887 | 0.8244    | 0.9371   |
+| 0.0024        | 12.0  | 2832 | 0.4455          | 0.8543     | 0.7969 | 0.8210    | 0.9373   |
+| 0.0016        | 13.0  | 3068 | 0.4603          | 0.8742     | 0.8062 | 0.8355    | 0.9395   |
+| 0.0018        | 14.0  | 3304 | 0.4660          | 0.8729     | 0.7996 | 0.8306    | 0.9393   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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