story_points_estimator

This model is a fine-tuned version of bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5010
• Accuracy: 0.2581

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: 1e-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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	35	1.5660	0.2903
No log	2.0	70	1.5116	0.2903
No log	3.0	105	1.5010	0.2581

Framework versions

• Transformers 4.40.2
• Pytorch 2.0.0.post200
• Datasets 2.19.2
• Tokenizers 0.19.1