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electra-5-epoch-sentiment
Browse files- README.md +91 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: google/electra-small-discriminator
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tags:
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- generated_from_trainer
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datasets:
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- tweet_eval
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metrics:
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- accuracy
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- precision
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- recall
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model-index:
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- name: electra-5-epoch-sentiment
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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: tweet_eval
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type: tweet_eval
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config: sentiment
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split: test
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args: sentiment
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6893520026050146
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- name: Precision
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type: precision
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value: 0.6913776305729754
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- name: Recall
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type: recall
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value: 0.6893520026050146
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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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# electra-5-epoch-sentiment
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7949
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- Accuracy: 0.6894
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- Precision: 0.6914
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- Recall: 0.6894
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- Micro-avg-recall: 0.6894
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- Micro-avg-precision: 0.6894
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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: 16
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- eval_batch_size: 16
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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 | Precision | Recall | Micro-avg-recall | Micro-avg-precision |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:----------------:|:-------------------:|
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| 0.5949 | 1.0 | 2851 | 0.6963 | 0.6926 | 0.6943 | 0.6926 | 0.6926 | 0.6926 |
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| 0.6502 | 2.0 | 5702 | 0.7348 | 0.6911 | 0.6929 | 0.6911 | 0.6911 | 0.6911 |
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| 0.556 | 3.0 | 8553 | 0.7322 | 0.6943 | 0.6952 | 0.6943 | 0.6943 | 0.6943 |
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| 0.4561 | 4.0 | 11404 | 0.7601 | 0.6895 | 0.6916 | 0.6895 | 0.6895 | 0.6895 |
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| 0.471 | 5.0 | 14255 | 0.7949 | 0.6894 | 0.6914 | 0.6894 | 0.6894 | 0.6894 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7f72e8b10ffef011f38f70878da32bac95fb98fc601ec1f7ad4902a04925dbd7
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size 4027
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