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--- |
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license: apache-2.0 |
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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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- f1 |
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model-index: |
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- name: tiny-vanilla-target-tweet |
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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: emotion |
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split: train |
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args: emotion |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7032085561497327 |
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- name: F1 |
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type: f1 |
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value: 0.704229444708009 |
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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-vanilla-target-tweet |
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the tweet_eval dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9887 |
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- Accuracy: 0.7032 |
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- F1: 0.7042 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: constant |
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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1.1604 | 4.9 | 500 | 0.9784 | 0.6604 | 0.6290 | |
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| 0.7656 | 9.8 | 1000 | 0.8273 | 0.7139 | 0.6905 | |
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| 0.534 | 14.71 | 1500 | 0.8138 | 0.7219 | 0.7143 | |
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| 0.3832 | 19.61 | 2000 | 0.8591 | 0.7086 | 0.7050 | |
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| 0.2722 | 24.51 | 2500 | 0.9250 | 0.7112 | 0.7118 | |
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| 0.1858 | 29.41 | 3000 | 0.9887 | 0.7032 | 0.7042 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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