BT-Jamba-1.5-Mini-customer-support

This model is a fine-tuned version of ai21labs/AI21-Jamba-1.5-Mini on the bitext/Bitext-combined-banking-wealth_management-mortgage_loans dataset. It achieves the following results on the evaluation set:

• Loss: 0.7288

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.7424	0.9983	299	0.7416
0.7224	2.0	599	0.7293
0.7153	2.9950	897	0.7288

Framework versions

• PEFT 0.13.2
• Transformers 4.45.0.dev0
• Pytorch 2.1.0+cu118
• Datasets 3.1.0
• Tokenizers 0.19.1