update model card README.md

README.md

@@ -0,0 +1,65 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: feedback-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. -->
+
+# feedback-classification
+
+This model is a fine-tuned version of [qarib/bert-base-qarib_far_9920k](https://huggingface.co/qarib/bert-base-qarib_far_9920k) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0442
+- Macro F1: 0.8311
+- Accuracy: 0.8275
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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 | Macro F1 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| No log        | 1.0   | 342  | 0.5528          | 0.7897   | 0.7851   |
+| 0.5472        | 2.0   | 684  | 0.6922          | 0.8200   | 0.8129   |
+| 0.2753        | 3.0   | 1026 | 0.9658          | 0.8113   | 0.8070   |
+| 0.2753        | 4.0   | 1368 | 0.9768          | 0.8349   | 0.8304   |
+| 0.1171        | 5.0   | 1710 | 1.0442          | 0.8311   | 0.8275   |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3