finetuning-sentiment-model-300-gpu-16-removed-push-to-hub
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset.
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.15.0
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Model tree for rithwik-db/finetuning-sentiment-model-300-gpu-16-removed-push-to-hub
Base model
distilbert/distilbert-base-uncased