mt5-aym-lex

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

• Bleu: 3.1238
• Chrf: 24.4605
• Gen Len: 17.3872
• Loss: 0.1883

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 600

Training results

Training Loss	Epoch	Step	Bleu	Chrf	Gen Len	Validation Loss
0.067	4.86	20000	2.9344	24.2586	17.5005	0.1844
0.065	9.71	40000	3.1238	24.4605	17.3872	0.1883

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3