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-ChunkDQ-DistilBERT
+  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-ChunkDQ-DistilBERT
+
+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: 0.2582
+- Precision: 0.5816
+- Recall: 0.8129
+- F1: 0.6780
+- Accuracy: 0.9126
+
+## 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   | 164  | 0.3432          | 0.4477    | 0.5795 | 0.5052 | 0.8796   |
+| No log        | 2.0   | 328  | 0.3053          | 0.4308    | 0.6985 | 0.5329 | 0.8952   |
+| No log        | 3.0   | 492  | 0.2602          | 0.5716    | 0.7775 | 0.6588 | 0.9097   |
+| 0.3826        | 4.0   | 656  | 0.2607          | 0.5664    | 0.8070 | 0.6656 | 0.9114   |
+| 0.3826        | 5.0   | 820  | 0.2582          | 0.5816    | 0.8129 | 0.6780 | 0.9126   |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.10.2+cu113
+- Datasets 2.9.0
+- Tokenizers 0.13.2