mt5-base-finetuned-modernisa

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

• Loss: 0.3179
• Bleu: 81.9164
• Gen Len: 11.1876

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.4588	0.35	10000	0.4023	78.1616	11.1577
0.3982	0.71	20000	0.3584	79.3456	11.144
0.3465	1.06	30000	0.3424	80.4057	11.1625
0.3236	1.42	40000	0.3349	80.9978	11.1869
0.2983	1.77	50000	0.3243	81.5426	11.1925
0.278	2.13	60000	0.3210	81.794	11.2047
0.2584	2.48	70000	0.3205	81.8086	11.1986
0.2609	2.84	80000	0.3179	81.9164	11.1876

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 1.15.2.dev0
• Tokenizers 0.10.3