update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: directquote-variedStyles
+  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. -->
+
+# directquote-variedStyles
+
+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: 0.2339
+- Precision: 0.7440
+- Recall: 0.9090
+- F1: 0.8182
+- Accuracy: 0.9355
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- 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 | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.3392        | 1.0   | 976  | 0.2050          | 0.7040    | 0.8297 | 0.7617 | 0.9327   |
+| 0.1915        | 2.0   | 1952 | 0.1996          | 0.7417    | 0.8990 | 0.8128 | 0.9337   |
+| 0.1668        | 3.0   | 2928 | 0.2023          | 0.7373    | 0.9066 | 0.8132 | 0.9369   |
+| 0.1447        | 4.0   | 3904 | 0.2125          | 0.7458    | 0.9107 | 0.8200 | 0.9367   |
+| 0.1248        | 5.0   | 4880 | 0.2339          | 0.7440    | 0.9090 | 0.8182 | 0.9355   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.10.2+cu113
+- Datasets 2.8.0
+- Tokenizers 0.13.2