LatinChantModel / README.md
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---
datasets:
- Geremia23/LatinChant
language:
- la
metrics:
- accuracy
- bleu
pipeline_tag: translation
---
Trained using [Eole](https://eole-nlp.github.io/eole/) for 90 minutes on an [NVIDIA Quadro RTX 4000](https://www.nvidia.com/en-gb/products/workstations/quadro/rtx-4000/) ([CC](https://developer.nvidia.com/cuda/gpus#:~:text=QUADRO%20RTX%204000) 7.5, 8 GB GDDR6 VRAM, 160W max power) GPU with `cuda_13.3.r13.3/compiler.38244171_0`, `torch 2.13.0a0`.
|Training|| |Validation||
|---|---| -- |---|---|
|embeddings| 24936448| |validation BLEU| 64.90217613134918
|encoder| 75524096| |Train perplexity| 4.23818
|decoder| 100702208| |Train accuracy| 99.5824
|generator| 24352| |Sentences processed| 644290
|other| 0| |{'corpus_1'| {'count': 644290, 'index': 69}}
|* number of parameters| 201187104| |Average bsz| 681/1015/20
|Trainable parameters | {'torch.float32': 201187104}||Validation perplexity| 53.242
|Non trainable parameters | {}| |Validation accuracy| 60.1233
| * src vocab size | 24352|
| * tgt vocab size | 24352|