Loss: 0.2827
Bleu score: 0.0762
Precisions: [0.8396396396396396, 0.7886178861788617, 0.7435897435897436, 0.7049180327868853]
Brevity penalty: 0.0993
Length ratio: 0.3021
Translation length: 555
Reference length: 1837
Cer: 0.7452
Wer: 0.8162
Cer Hugging Face: 0.7544
Wer Hugging Face: 0.8233

Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Bleu score	Precisions	Brevity penalty	Length ratio	Translation length	Reference length	Cer	Wer	Cer Hugging Face	Wer Hugging Face
No log	0.99	62	0.3478	0.0756	[0.8178571428571428, 0.7625754527162978, 0.7142857142857143, 0.6711590296495957]	0.1022	0.3048	560	1837	0.7474	0.8243	0.7570	0.8333
0.2634	2.0	125	0.2873	0.0763	[0.8345323741007195, 0.7829614604462475, 0.7418604651162791, 0.7029972752043597]	0.0999	0.3027	556	1837	0.7435	0.8219	0.7527	0.8288
0.2634	2.99	187	0.2817	0.0777	[0.8369175627240143, 0.7838383838383839, 0.7476851851851852, 0.7127371273712737]	0.1011	0.3038	558	1837	0.7407	0.8152	0.7498	0.8215
0.263	3.97	248	0.2827	0.0762	[0.8396396396396396, 0.7886178861788617, 0.7435897435897436, 0.7049180327868853]	0.0993	0.3021	555	1837	0.7452	0.8162	0.7544	0.8233