jonaskoenig/xtremedistil-l6-h256-uncased-future-time-references

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0126
• Train Sparse Categorical Accuracy: 0.9961
• Validation Loss: 0.0148
• Validation Sparse Categorical Accuracy: 0.9955
• Epoch: 3

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:

• optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
0.0541	0.9841	0.0250	0.9929	0
0.0223	0.9936	0.0186	0.9947	1
0.0158	0.9953	0.0161	0.9953	2
0.0126	0.9961	0.0148	0.9955	3

Framework versions

• Transformers 4.20.1
• TensorFlow 2.9.1
• Datasets 2.3.2
• Tokenizers 0.12.1