tqa-stage2-v1 – AI Model by quanxuantruong | AlphaNeural AI

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tqa-stage2-v1

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tqa-stage2-v1

This model is a fine-tuned version of quanxuantruong/tqa-stage1-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1406
Rouge1: 0.5367
Rouge2: 0.3644
Rougel: 0.5367
Rougelsum: 0.5358
Exact Match: 0.0067

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-06
train_batch_size: 16
eval_batch_size: 16
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Exact Match
3.4898	1.0	169	1.5341	0.2783	0.1844	0.28	0.2797	0.0067
1.5963	2.0	338	1.1492	0.5367	0.3644	0.5367	0.5358	0.01
1.3359	3.0	507	1.1406	0.5367	0.3644	0.5367	0.5358	0.0067

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2