t5-base-exp1

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0701

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: 0.001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 64
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
0.3485	0.9995	143	0.2820
0.2208	1.9989	286	0.1841
0.1529	2.9984	429	0.1166
0.1214	3.9978	572	0.0889
0.1018	4.9973	715	0.0805
0.1025	5.9967	858	0.0761
0.102	6.9962	1001	0.0733
0.0929	7.9956	1144	0.0701

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1