Model save
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README.md
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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_v4_complete_training_48
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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_v4_complete_training_48
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.7058
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- Accuracy: 0.2878
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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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| 6.5774 | 0.08 | 10000 | 6.5399 | 0.1253 |
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| 6.3254 | 0.16 | 20000 | 6.3103 | 0.1388 |
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| 6.2278 | 0.25 | 30000 | 6.2114 | 0.1443 |
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| 6.1712 | 0.33 | 40000 | 6.1491 | 0.1475 |
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| 6.12 | 0.41 | 50000 | 6.1086 | 0.1492 |
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| 6.0914 | 0.49 | 60000 | 6.0781 | 0.1500 |
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| 6.0676 | 0.57 | 70000 | 6.0540 | 0.1505 |
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| 6.0492 | 0.66 | 80000 | 6.0345 | 0.1512 |
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| 6.028 | 0.74 | 90000 | 6.0157 | 0.1516 |
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| 5.9337 | 0.82 | 100000 | 5.8988 | 0.1533 |
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| 5.7697 | 0.9 | 110000 | 5.7402 | 0.1654 |
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| 5.6918 | 0.98 | 120000 | 5.6387 | 0.1777 |
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| 5.6026 | 1.07 | 130000 | 5.5348 | 0.1910 |
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| 5.5066 | 1.15 | 140000 | 5.4329 | 0.2035 |
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| 5.4294 | 1.23 | 150000 | 5.3326 | 0.2144 |
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| 5.3402 | 1.31 | 160000 | 5.2304 | 0.2270 |
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| 5.2397 | 1.39 | 170000 | 5.1170 | 0.2406 |
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| 5.1356 | 1.47 | 180000 | 4.9793 | 0.2564 |
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| 5.0099 | 1.56 | 190000 | 4.8372 | 0.2730 |
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| 4.885 | 1.64 | 200000 | 4.7058 | 0.2878 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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