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