update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+model-index:
+- name: distilbert-magazine-classifier
+  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. -->
+
+# distilbert-magazine-classifier
+
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8377
+- Precision: 0.25
+- Recall: 0.125
+- Fscore: 0.1667
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Fscore |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| 0.1779        | 1.0   | 2    | 1.7584          | 0.2222    | 0.3333 | 0.2667 |
+| 0.1635        | 2.0   | 4    | 1.7585          | 0.25      | 0.125  | 0.1667 |
+| 0.1405        | 3.0   | 6    | 1.8377          | 0.25      | 0.125  | 0.1667 |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.17.0
+- Tokenizers 0.10.3