finetuning-sentiment-model-10000-samples
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.5301
- Accuracy: 0.908
- F1: 0.9076
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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Model tree for JS21/finetuning-sentiment-model-10000-samples
Base model
distilbert/distilbert-base-uncased
Finetuned
this model
Dataset used to train JS21/finetuning-sentiment-model-10000-samples
Evaluation results
- Accuracy on imdbtest set self-reported0.908
- F1 on imdbtest set self-reported0.908