fine-tuned-distilbert-base-uncased
This model is a fine-tuned version of distilbert/distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.0891
- eval_accuracy: {'accuracy': 0.6}
- eval_f1score: {'f1': 0.6908981314044605}
- eval_runtime: 29.8465
- eval_samples_per_second: 3.35
- eval_steps_per_second: 0.436
- step: 0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 639
- num_epochs: 1
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0
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