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-2_H-768_A-12
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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-2_H-768_A-12_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: 0.938
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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-2_H-768_A-12_emotion
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-768_A-12](https://huggingface.co/google/bert_uncased_L-2_H-768_A-12) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1647
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- Accuracy: 0.938
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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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| 0.7509 | 1.0 | 250 | 0.2324 | 0.9185 |
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| 0.202 | 2.0 | 500 | 0.1814 | 0.932 |
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| 0.1333 | 3.0 | 750 | 0.1571 | 0.9335 |
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| 0.0995 | 4.0 | 1000 | 0.1647 | 0.938 |
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| 0.0807 | 5.0 | 1250 | 0.1822 | 0.9355 |
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| 0.0635 | 6.0 | 1500 | 0.1938 | 0.9325 |
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| 0.0486 | 7.0 | 1750 | 0.2061 | 0.929 |
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| 0.0407 | 8.0 | 2000 | 0.2191 | 0.933 |
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| 0.035 | 9.0 | 2250 | 0.2238 | 0.9325 |
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| 0.0277 | 10.0 | 2500 | 0.2254 | 0.9325 |
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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 154446828
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version https://git-lfs.github.com/spec/v1
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oid sha256:48990cfbcb11a1899b000a4001ef07a9f2c0e45b6c48cc3fd652aed51230d954
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size 154446828
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