vjti-tpo-chatbot

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.0141

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• 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: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	115	11.3372
No log	2.0	230	4.5240
No log	3.0	345	4.2241
No log	4.0	460	3.9639
10.8438	5.0	575	3.6608
10.8438	6.0	690	3.3951
10.8438	7.0	805	3.2166
10.8438	8.0	920	3.0950
3.6768	9.0	1035	3.0311
3.6768	10.0	1150	3.0141

Framework versions

• PEFT 0.14.0
• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0