financial-chatbot-dialoGPT

This model is a fine-tuned version of microsoft/DialoGPT-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3724

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.8696	5	5.8193
9.0573	1.8696	10	3.7294
9.0573	2.8696	15	2.8350
4.4795	3.8696	20	2.4481
4.4795	4.8696	25	2.3724

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cpu
• Datasets 3.2.0
• Tokenizers 0.21.0