mt5-aym-lex-try

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:

• Loss: 0.2781
• Chrf: 15.5602
• Bleu: 0.7538
• Gen Len: 19.0

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: 1
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Chrf	Bleu	Gen Len
0.2183	0.0	20	0.3002	16.5098	0.7277	19.0
0.1911	0.01	40	0.2852	16.9826	0.7635	19.0
0.2366	0.01	60	0.2800	15.7077	0.7476	19.0
0.1941	0.02	80	0.2785	15.5602	0.7538	19.0
0.1991	0.02	100	0.2781	15.5602	0.7538	19.0

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3