update model card README.md

README.md

@@ -0,0 +1,68 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-base-multilingual-cased-finetuned-ijelid
+  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. -->
+
+# bert-base-multilingual-cased-finetuned-ijelid
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5701
+- Precision: 0.9255
+- Recall: 0.9206
+- F1: 0.9229
+- Accuracy: 0.9449
+
+## 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: 3e-05
+- train_batch_size: 256
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 25   | 0.5654          | 0.9300    | 0.9143 | 0.9219 | 0.9443   |
+| No log        | 2.0   | 50   | 0.5853          | 0.9272    | 0.9162 | 0.9214 | 0.9437   |
+| No log        | 3.0   | 75   | 0.5760          | 0.9275    | 0.9199 | 0.9235 | 0.9445   |
+| No log        | 4.0   | 100  | 0.5733          | 0.9254    | 0.9209 | 0.9230 | 0.9445   |
+| No log        | 5.0   | 125  | 0.5701          | 0.9255    | 0.9206 | 0.9229 | 0.9449   |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu102
+- Datasets 2.5.1
+- Tokenizers 0.12.1