Model save

README.md

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+---
+license: mit
+base_model: prajjwal1/bert-tiny
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: goodreads_rating_classification
+  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. -->
+
+# goodreads_rating_classification
+
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9785
+- F1: 0.5941
+
+## 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: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | F1     |
+|:-------------:|:-----:|:------:|:---------------:|:------:|
+| 1.1524        | 1.0   | 36000  | 1.0322          | 0.5680 |
+| 1.0338        | 2.0   | 72000  | 0.9999          | 0.5834 |
+| 1.0009        | 3.0   | 108000 | 0.9852          | 0.5898 |
+| 0.9823        | 4.0   | 144000 | 0.9798          | 0.5924 |
+| 0.971         | 5.0   | 180000 | 0.9785          | 0.5941 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

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