update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: xlm-roberta-panx-uz
+  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. -->
+
+# xlm-roberta-panx-uz
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1779
+- F1: 0.9368
+
+## 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: 5e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0769        | 1.0   | 150  | 0.1657          | 0.9259 |
+| 0.0416        | 2.0   | 300  | 0.1587          | 0.9219 |
+| 0.0239        | 3.0   | 450  | 0.1641          | 0.9396 |
+| 0.014         | 4.0   | 600  | 0.1684          | 0.9288 |
+| 0.0093        | 5.0   | 750  | 0.1779          | 0.9368 |
+
+
+### Framework versions
+
+- Transformers 4.27.3
+- Pytorch 2.0.0+cu117
+- Datasets 2.11.0
+- Tokenizers 0.12.1