metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-distilbert-base-uncased
results: []
fine-tuned-distilbert-base-uncased
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5839
- eval_accuracy: {'accuracy': 0.7735}
- eval_f1score: {'f1': 0.7659648935757575}
- eval_runtime: 36.2627
- eval_samples_per_second: 55.153
- eval_steps_per_second: 6.894
- 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: 399
- num_epochs: 2
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3