End of training
Browse files- README.md +85 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: google/bert_uncased_L-4_H-128_A-2
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tags:
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- generated_from_trainer
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datasets:
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- emotion
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metrics:
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- accuracy
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model-index:
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- name: bert_uncased_L-4_H-128_A-2_emotion
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: emotion
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type: emotion
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config: split
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split: validation
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args: split
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.916
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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_uncased_L-4_H-128_A-2_emotion
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-128_A-2](https://huggingface.co/google/bert_uncased_L-4_H-128_A-2) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2776
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- Accuracy: 0.916
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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: 64
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- eval_batch_size: 64
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- seed: 33
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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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- num_epochs: 10
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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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| 1.4323 | 1.0 | 250 | 1.1059 | 0.6495 |
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| 0.9588 | 2.0 | 500 | 0.7596 | 0.788 |
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| 0.6816 | 3.0 | 750 | 0.5526 | 0.8505 |
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| 0.5074 | 4.0 | 1000 | 0.4233 | 0.895 |
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| 0.4131 | 5.0 | 1250 | 0.3628 | 0.906 |
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| 0.3536 | 6.0 | 1500 | 0.3261 | 0.9015 |
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| 0.3128 | 7.0 | 1750 | 0.2960 | 0.911 |
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| 0.2905 | 8.0 | 2000 | 0.2894 | 0.9125 |
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| 0.2765 | 9.0 | 2250 | 0.2776 | 0.916 |
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| 0.2682 | 10.0 | 2500 | 0.2728 | 0.915 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.14.5
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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 19158540
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb631eaeda1ac2db6205fe012aa2d6159c61062e92ea3ff39be47a181b21b01f
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size 19158540
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