update model card README.md

README.md

@@ -0,0 +1,68 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: convnextv2-base-22k-384-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. -->
+
+# convnextv2-base-22k-384-finetuned
+
+This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1532
+- Accuracy: 0.9611
+- F1: 0.9510
+- Precision: 0.9714
+- Recall: 0.9315
+
+## 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: 0.00015
+- train_batch_size: 2
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.1703        | 1.0   | 25   | 0.1399          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
+| 0.0829        | 2.0   | 50   | 0.1470          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
+| 0.0458        | 3.0   | 75   | 0.1532          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3