data-silence/rating-classifier

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+- precision
+- recall
+model-index:
+- name: rating-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. -->
+
+# rating-classifier
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- F1: 0.6729
+- Loss: 0.8373
+- Accuracy: 0.6710
+- Precision: 0.6774
+- Recall: 0.6710
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | F1     | Validation Loss | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:----:|:------:|:---------------:|:--------:|:---------:|:------:|
+| 1.0326        | 1.0   | 984  | 0.6354 | 0.8096          | 0.6707   | 0.6383    | 0.6707 |
+| 0.6801        | 2.0   | 1968 | 0.6668 | 0.7508          | 0.6888   | 0.6667    | 0.6888 |
+| 0.5313        | 3.0   | 2952 | 0.6729 | 0.8373          | 0.6710   | 0.6774    | 0.6710 |
+| 0.3895        | 4.0   | 3936 | 0.6678 | 0.9705          | 0.6730   | 0.6649    | 0.6730 |
+| 0.2857        | 5.0   | 4920 | 0.6708 | 1.0989          | 0.6745   | 0.6684    | 0.6745 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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training_args.bin

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