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Browse files- README.md +65 -0
- logs/events.out.tfevents.1733838118.ki-g0008.684565.10 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: gokulsrinivasagan/bert_tiny_lda_50_v1_book
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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_50_v1_book_sst2
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results: []
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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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# bert_tiny_lda_50_v1_book_sst2
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_50_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_50_v1_book) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4193
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- Accuracy: 0.8773
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3652 | 1.0 | 264 | 0.3608 | 0.8532 |
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| 0.2205 | 2.0 | 528 | 0.3714 | 0.8635 |
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| 0.1577 | 3.0 | 792 | 0.4074 | 0.8498 |
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| 0.1198 | 4.0 | 1056 | 0.3851 | 0.8658 |
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| 0.0932 | 5.0 | 1320 | 0.4104 | 0.8704 |
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| 0.0733 | 6.0 | 1584 | 0.4193 | 0.8773 |
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### Framework versions
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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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