distilbert-base-uncased-finetuned-sst2
This model is a fine-tuned version of Telstema/distilbert-base-uncased-finetuned-sst2 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.7080
- eval_accuracy: 0.7218
- eval_runtime: 13.1083
- eval_samples_per_second: 10.146
- eval_steps_per_second: 0.687
- epoch: 2.0
- step: 100
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: 3.909275911638729e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 23
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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