bart-large-translation-spa-pbb

This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.6252
• Bleu: 0.233
• Gen Len: 11.0184

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: 2e-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: 10
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.6025	1.0	304	3.0281	0.0	7.7339
3.694	2.0	608	2.8050	0.0	5.3307
2.3214	3.0	912	2.6729	0.0	11.5929
2.0	4.0	1216	2.6280	0.4389	10.8669
2.0676	5.0	1520	2.6142	1.5675	9.6904
1.8422	6.0	1824	2.6252	0.233	11.0184

Framework versions

• Transformers 4.35.2
• Pytorch 1.13.1+cu117
• Datasets 2.15.0
• Tokenizers 0.15.0