m2m100_418M_tq_fr_1

This model is a fine-tuned version of heisenberg1337/m2m100_418M_tq_fr on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8665
• Bleu: 5.8216

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-06
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 96
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.8405	0.97	100	0.8682	5.4390
0.8303	1.94	200	0.8661	5.3736
0.8245	2.91	300	0.8616	5.5394
0.807	3.87	400	0.8632	5.4620
0.7954	4.84	500	0.8637	5.6718
0.7827	5.81	600	0.8665	5.8216

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3