test1

This model is a fine-tuned version of google/t5-small-lm-adapt on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5772
• Exact Match Acc: 0.0118

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: 0.005
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 0.1
• num_epochs: 3.0
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match Acc
1.6493	0.4348	50	1.6531	0.0011
1.6842	0.8696	100	1.6311	0.0022
1.6140	1.3043	150	1.6110	0.0054
1.6240	1.7391	200	1.5943	0.0097
1.5772	2.1739	250	1.5823	0.0108
1.5760	2.6087	300	1.5772	0.0118

Framework versions

• Transformers 5.2.0
• Pytorch 2.10.0+cu128
• Datasets 4.5.0
• Tokenizers 0.22.2