Commit
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Parent(s):
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End of training
Browse files- README.md +82 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: huawei-noah/TinyBERT_General_4L_312D
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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: Tiny_Bert_Cupstone
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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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# Tiny_Bert_Cupstone
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This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3333
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- Accuracy: 0.8550
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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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- 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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| 0.524 | 0.2 | 500 | 0.4015 | 0.8318 |
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| 0.4268 | 0.4 | 1000 | 0.4274 | 0.8279 |
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| 0.39 | 0.6 | 1500 | 0.3743 | 0.8502 |
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| 0.3674 | 0.8 | 2000 | 0.3333 | 0.8550 |
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| 0.3687 | 1.0 | 2500 | 0.3836 | 0.8585 |
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| 0.3489 | 1.2 | 3000 | 0.3927 | 0.8548 |
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| 0.3193 | 1.41 | 3500 | 0.3938 | 0.8669 |
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| 0.3525 | 1.61 | 4000 | 0.3717 | 0.8753 |
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| 0.3327 | 1.81 | 4500 | 0.4589 | 0.8573 |
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| 0.3276 | 2.01 | 5000 | 0.3676 | 0.8791 |
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| 0.285 | 2.21 | 5500 | 0.4196 | 0.8811 |
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| 0.2757 | 2.41 | 6000 | 0.3973 | 0.8777 |
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| 0.277 | 2.61 | 6500 | 0.4198 | 0.8805 |
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| 0.2834 | 2.81 | 7000 | 0.4955 | 0.8739 |
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| 0.338 | 3.01 | 7500 | 0.4383 | 0.8844 |
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| 0.2499 | 3.21 | 8000 | 0.4745 | 0.8785 |
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| 0.2405 | 3.41 | 8500 | 0.4794 | 0.8854 |
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| 0.2648 | 3.61 | 9000 | 0.4576 | 0.8844 |
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| 0.2379 | 3.81 | 9500 | 0.4395 | 0.8886 |
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| 0.2343 | 4.01 | 10000 | 0.5088 | 0.8791 |
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| 0.2011 | 4.22 | 10500 | 0.5272 | 0.8781 |
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| 0.2198 | 4.42 | 11000 | 0.5235 | 0.8765 |
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| 0.2343 | 4.62 | 11500 | 0.5019 | 0.8844 |
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| 0.194 | 4.82 | 12000 | 0.5227 | 0.8791 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 57427209
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60941051d2cd23a875da6bbc754f0d41e6072c60101dfa3d081dc3003237205
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size 57427209
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