mt5-finetuned-mdo-id-epoch15

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4441

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: 0.0003
• train_batch_size: 4
• eval_batch_size: 4
• 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: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
4.4421	1.0	1031	3.7025
3.6107	2.0	2062	3.2316
3.0197	3.0	3093	2.8729
2.6591	4.0	4124	2.6624
2.3048	5.0	5155	2.5423
2.0147	6.0	6186	2.4637
1.7714	7.0	7217	2.4011
1.5943	8.0	8248	2.3722
1.4302	9.0	9279	2.3561
1.2905	10.0	10310	2.3710
1.206	11.0	11341	2.3609
1.0743	12.0	12372	2.4143
1.0458	13.0	13403	2.4083
0.9801	14.0	14434	2.4436
0.9405	15.0	15465	2.4441

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1