update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: uzroberta-sentiment-analysis
+  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. -->
+
+# uzroberta-sentiment-analysis
+
+This model is a fine-tuned version of [rifkat/uztext-3Gb-BPE-Roberta](https://huggingface.co/rifkat/uztext-3Gb-BPE-Roberta) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5718
+- Precision: 0.9113
+- Recall: 0.8869
+- F1: 0.8989
+- Accuracy: 0.896
+
+## 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: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1595        | 1.0   | 1125 | 0.4438          | 0.8971    | 0.8523 | 0.8741 | 0.872    |
+| 0.1891        | 2.0   | 2250 | 0.4157          | 0.8961    | 0.9012 | 0.8987 | 0.894    |
+| 0.1201        | 3.0   | 3375 | 0.5024          | 0.9074    | 0.8830 | 0.8950 | 0.892    |
+| 0.0772        | 4.0   | 4500 | 0.5718          | 0.9113    | 0.8869 | 0.8989 | 0.896    |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu116
+- Datasets 2.3.2
+- Tokenizers 0.12.1