gokulsrinivasagan
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Browse files- README.md +70 -0
- logs/events.out.tfevents.1732656493.ki-g0008.2136969.24 +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_20_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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- f1
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model-index:
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- name: bert_tiny_lda_20_v1_qqp
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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_20_v1_qqp
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_20_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6573
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- Accuracy: 0.6318
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- F1: 0.0
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- Combined Score: 0.3159
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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: 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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---:|:--------------:|
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| 0.6612 | 1.0 | 1422 | 0.6582 | 0.6318 | 0.0 | 0.3159 |
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| 0.659 | 2.0 | 2844 | 0.6576 | 0.6318 | 0.0 | 0.3159 |
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| 0.6587 | 3.0 | 4266 | 0.6569 | 0.6318 | 0.0 | 0.3159 |
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| 0.6585 | 4.0 | 5688 | 0.6574 | 0.6318 | 0.0 | 0.3159 |
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| 0.6585 | 5.0 | 7110 | 0.6574 | 0.6318 | 0.0 | 0.3159 |
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| 0.6585 | 6.0 | 8532 | 0.6582 | 0.6318 | 0.0 | 0.3159 |
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| 0.6585 | 7.0 | 9954 | 0.6573 | 0.6318 | 0.0 | 0.3159 |
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| 0.6585 | 8.0 | 11376 | 0.6573 | 0.6318 | 0.0 | 0.3159 |
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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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logs/events.out.tfevents.1732656493.ki-g0008.2136969.24
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model.safetensors
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