mt5_new

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: 3.3753

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.98	45	11.5821
No log	1.98	91	9.8267
No log	2.98	137	8.3579
No log	3.98	183	7.3373
No log	4.99	229	4.9827
No log	5.99	275	3.5992
No log	6.99	321	3.4927
No log	7.84	360	3.3753

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.2