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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: gokulsrinivasagan/bert_tiny_lda_100_v1
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: bert_tiny_lda_100_v1_wnli
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert_tiny_lda_100_v1_wnli
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+
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+ This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6945
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+ - Accuracy: 0.4366
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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+ - train_batch_size: 256
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+ - eval_batch_size: 256
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+ - seed: 10
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.988 | 1.0 | 3 | 0.6867 | 0.5634 |
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+ | 0.694 | 2.0 | 6 | 0.6856 | 0.5634 |
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+ | 0.7144 | 3.0 | 9 | 0.6856 | 0.5634 |
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+ | 0.7011 | 4.0 | 12 | 0.6941 | 0.4366 |
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+ | 0.6932 | 5.0 | 15 | 0.7037 | 0.4366 |
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+ | 0.6964 | 6.0 | 18 | 0.6844 | 0.5634 |
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+ | 0.6965 | 7.0 | 21 | 0.6926 | 0.5634 |
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+ | 0.6957 | 8.0 | 24 | 0.7037 | 0.4366 |
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+ | 0.699 | 9.0 | 27 | 0.6946 | 0.4366 |
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+ | 0.6936 | 10.0 | 30 | 0.6876 | 0.5634 |
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+ | 0.6948 | 11.0 | 33 | 0.6945 | 0.4366 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.17.0
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+ - Tokenizers 0.20.3
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+ {
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+ "_name_or_path": "gokulsrinivasagan/bert_tiny_lda_100_v1",
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+ "DistilBertForSequenceClassification"
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+ "attention_dropout": 0.1,
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+ "dropout": 0.1,
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+ "finetuning_task": "wnli",
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+ "initializer_range": 0.02,
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+ }
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