End of training

README.md

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+---
+base_model: google/muril-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: muril_large_finetuned
+  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_large_finetuned
+
+This model is a fine-tuned version of [google/muril-large-cased](https://huggingface.co/google/muril-large-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7548
+- Accuracy: 0.7359
+- F1: 0.6026
+
+## 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: 7.040797016244148e-06
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 6
+- 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 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7106        | 1.0   | 2599 | 0.7548          | 0.7359   | 0.6026 |
+| 0.6588        | 2.0   | 5198 | 0.7949          | 0.7342   | 0.6041 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.15.2

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