distilbert_beekeeping_QandA_model

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: 0.1106

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• 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	54	0.4174
No log	2.0	108	0.1275
No log	3.0	162	0.1516
No log	4.0	216	0.1016
No log	5.0	270	0.1128
No log	6.0	324	0.1058
No log	7.0	378	0.0903
No log	8.0	432	0.1027
No log	9.0	486	0.1285
0.369	10.0	540	0.1211

Framework versions

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