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--- |
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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_12_layer_model_v1_complete_training_new_wt_init_120 |
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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_12_layer_model_v1_complete_training_new_wt_init_120 |
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_96](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_96) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1966 |
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- Accuracy: 0.5856 |
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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: 1e-05 |
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- train_batch_size: 48 |
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- eval_batch_size: 48 |
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- seed: 10 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 10000 |
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- num_epochs: 5 |
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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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| 2.3673 | 0.08 | 10000 | 2.2852 | 0.5732 | |
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| 2.356 | 0.16 | 20000 | 2.2772 | 0.5744 | |
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| 2.3424 | 0.25 | 30000 | 2.2640 | 0.5765 | |
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| 2.3442 | 0.33 | 40000 | 2.2525 | 0.5778 | |
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| 2.3228 | 0.41 | 50000 | 2.2427 | 0.5793 | |
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| 2.3179 | 0.49 | 60000 | 2.2313 | 0.5810 | |
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| 2.2993 | 0.57 | 70000 | 2.2237 | 0.5822 | |
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| 2.2911 | 0.66 | 80000 | 2.2128 | 0.5831 | |
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| 2.279 | 0.74 | 90000 | 2.2008 | 0.5842 | |
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| 2.2715 | 0.82 | 100000 | 2.1966 | 0.5856 | |
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### Framework versions |
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- Transformers 4.30.1 |
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- Pytorch 1.14.0a0+410ce96 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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