mt5-aym-lex-try3

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: 0.1687
• Chrf: 20.013
• Bleu: 4.4299
• Gen Len: 17.1254

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: 5
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Chrf	Bleu	Gen Len
0.2142	0.0	20	0.1750	20.6672	4.6405	17.0733
0.1881	0.01	40	0.1704	20.1942	4.484	17.1141
0.2355	0.01	60	0.1690	20.0147	4.4349	17.1302
0.1939	0.02	80	0.1688	20.0311	4.4427	17.1319
0.1985	0.02	100	0.1687	20.013	4.4299	17.1254

Framework versions

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