distilbert-base-uncased-finetuned-alm

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: 1.4734

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.5161	1.0	2	1.8760
1.6812	2.0	4	1.5609
1.5671	3.0	6	1.6513

Framework versions

• Transformers 4.24.0
• Pytorch 1.10.0
• Datasets 2.6.1
• Tokenizers 0.13.2