customer-support-intent-albert

This model is a fine-tuned version of albert-base-v2 for intent classification on the bitext/Bitext-customer-support-llm-chatbot-training-dataset dataset.

It achieves the following results on the evaluation set:

• Loss: 0.0154
• Accuracy: 0.9988

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1993	1.0	409	0.0969	0.9927
0.0304	2.0	818	0.0247	0.9951
0.0087	3.0	1227	0.0169	0.9963

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1
• Datasets 2.14.5
• Tokenizers 0.13.3