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: whispQuote-ChunkedDQ
+  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. -->
+
+# whispQuote-ChunkedDQ
+
+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: 0.2317
+- Precision: 0.6456
+- Recall: 0.8030
+- F1: 0.7157
+- Accuracy: 0.9241
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 162  | 0.3050          | 0.5572    | 0.6886 | 0.6159 | 0.8903   |
+| No log        | 2.0   | 324  | 0.2382          | 0.6363    | 0.7659 | 0.6951 | 0.9187   |
+| No log        | 3.0   | 486  | 0.2350          | 0.6420    | 0.7927 | 0.7094 | 0.9220   |
+| 0.3239        | 4.0   | 648  | 0.2303          | 0.6486    | 0.8012 | 0.7169 | 0.9228   |
+| 0.3239        | 5.0   | 810  | 0.2317          | 0.6456    | 0.8030 | 0.7157 | 0.9241   |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.10.2+cu113
+- Datasets 2.9.0
+- Tokenizers 0.13.2