finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of Tianyi98/opt-350m-finetuned-cola on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.4133
- Accuracy: 0.92
- F1: 0.9205
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 4.22.1
- Pytorch 1.10.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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Dataset used to train DravenTay/finetuning-sentiment-model-3000-samples
Evaluation results
- Accuracy on imdbself-reported0.920
- F1 on imdbself-reported0.921