hoa-1b4_model_kaggle_time_March9th_format

This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0275

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: 4e-05
• train_batch_size: 1
• eval_batch_size: 1
• 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	465	0.1374
0.4597	2.0	930	0.0718
0.0993	3.0	1395	0.0513
0.0658	4.0	1860	0.0427
0.0474	5.0	2325	0.0391
0.0391	6.0	2790	0.0356
0.0374	7.0	3255	0.0317
0.0323	8.0	3720	0.0296
0.0317	9.0	4185	0.0284
0.0299	10.0	4650	0.0275

Framework versions

• PEFT 0.9.0
• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2