update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: albert-base-v2-finetuned-code-mixed-DS
+  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. -->
+
+# albert-base-v2-finetuned-code-mixed-DS
+
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0408
+- Accuracy: 0.7324
+- Precision: 0.6883
+- Recall: 0.6822
+- F1: 0.6833
+
+## 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: 1.2766380106570283e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 43
+- 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 | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.9207        | 1.0   | 497  | 0.7810          | 0.6016   | 0.5878    | 0.5953 | 0.5264 |
+| 0.7519        | 2.0   | 994  | 0.8159          | 0.6600   | 0.6020    | 0.6194 | 0.6015 |
+| 0.6029        | 3.0   | 1491 | 0.8026          | 0.7163   | 0.6599    | 0.6604 | 0.6593 |
+| 0.4259        | 4.0   | 1988 | 0.9464          | 0.7384   | 0.7058    | 0.6808 | 0.6822 |
+| 0.2845        | 5.0   | 2485 | 1.0408          | 0.7324   | 0.6883    | 0.6822 | 0.6833 |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1