End of training

README.md

@@ -1,3 +1,61 @@
 ---
 license: apache-2.0
+base_model: google/muril-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: muril_classification
+  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. -->
+
+# muril_classification
+
+This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4072
+- Accuracy: 0.843
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6127        | 1.0   | 625  | 0.4807          | 0.809    |
+| 0.4818        | 2.0   | 1250 | 0.4072          | 0.843    |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.2.1+cpu
+- Datasets 2.12.0
+- Tokenizers 0.13.2