distilbert-base-uncased-aisera_texts

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8283

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
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.0694	1.0	7790	1.9868
1.9054	2.0	15580	1.8646
1.8701	3.0	23370	1.8283

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Tokenizers 0.12.1