output_dir

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

• Loss: 0.7919

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: 3
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 6
• total_train_batch_size: 18
• 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	109	1.5316
No log	2.0	218	1.2479
No log	3.0	327	1.0776
No log	4.0	436	0.9689
1.6747	5.0	545	0.9028
1.6747	6.0	654	0.8579
1.6747	7.0	763	0.8282
1.6747	8.0	872	0.8083
1.6747	9.0	981	0.7959
0.9975	10.0	1090	0.7919

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1