my_segment_news_1

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

• Loss: 1.3054
• Accuracy: 0.7046

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	47	0.8568	0.6555
No log	2.0	94	0.7703	0.7128
No log	3.0	141	0.9174	0.7115
No log	4.0	188	0.9764	0.7268
No log	5.0	235	1.1855	0.6945
No log	6.0	282	1.1718	0.7071
No log	7.0	329	1.1631	0.7246
No log	8.0	376	1.2950	0.7029
No log	9.0	423	1.3254	0.7019
No log	10.0	470	1.3054	0.7046

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3