update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: distilbert-amazon-shoe-reviews
+  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-amazon-shoe-reviews
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3445
+- Accuracy: 0.48
+- F1: [0.         0.         0.         0.         0.64864865]
+- Precision: [0.   0.   0.   0.   0.48]
+- Recall: [0. 0. 0. 0. 1.]
+
+## 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: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1                                                       | Precision                  | Recall           |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------------------------------------------:|:--------------------------:|:----------------:|
+| No log        | 1.0   | 15   | 1.3445          | 0.48     | [0.         0.         0.         0.         0.64864865] | [0.   0.   0.   0.   0.48] | [0. 0. 0. 0. 1.] |
+
+
+### Framework versions
+
+- Transformers 4.19.4
+- Pytorch 1.11.0
+- Datasets 2.3.2
+- Tokenizers 0.12.1