dzoQA_ml

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

• Loss: 5.2318

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: 9

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	17	5.5030
No log	2.0	34	5.4155
No log	3.0	51	5.3362
No log	4.0	68	5.3240
No log	5.0	85	5.2659
No log	6.0	102	5.2410
No log	7.0	119	5.2223
No log	8.0	136	5.2406
No log	9.0	153	5.2318

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1