outputs

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: 0.8994

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	50	0.9325
No log	2.0	100	0.6820
No log	3.0	150	0.6297
No log	4.0	200	0.7296
No log	5.0	250	0.8239
No log	6.0	300	0.8474
No log	7.0	350	0.8558
No log	8.0	400	0.8872
No log	9.0	450	0.8950
0.2679	10.0	500	0.8994

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2