LatinCy w2v models
Details coming soon.
Evaluation
The models included here have been evaluated on an analogy task (details coming soon).
Analogy solved @1
| Model | Accuracy |
|---|---|
| Latincy W2V CBOW 100-10 (v0.0.2) | 0.581240 |
| Latincy W2V CBOW 100-5 (v0.0.2) | 0.580402 |
| Latincy W2V CBOW 300-10 (v0.0.2) | 0.628978 |
| Latincy W2V CBOW 300-5 (v0.0.2) | 0.623534 |
| Latincy W2V CBOW 50-10 (v0.0.2) | 0.437605 |
| Latincy W2V CBOW 50-5 (v0.0.2) | 0.436348 |
| Latincy W2V SG 100-10 (v0.0.2) | 0.522613 |
| Latincy W2V SG 100-5 (v0.0.2) | 0.548995 |
| Latincy W2V SG 300-10 (v0.0.2) | 0.472362 |
| Latincy W2V SG 300-5 (v0.0.2) | 0.479481 |
| Latincy W2V SG 50-10 (v0.0.2) | 0.389028 |
| Latincy W2V SG 50-5 (v0.0.2) | 0.414573 |
Analogy solved @5
| Model | Accuracy |
|---|---|
| Latincy W2V CBOW 100-10 (v0.0.2) | 0.781826 |
| Latincy W2V CBOW 100-5 (v0.0.2) | 0.798157 |
| Latincy W2V CBOW 300-10 (v0.0.2) | 0.820771 |
| Latincy W2V CBOW 300-5 (v0.0.2) | 0.819933 |
| Latincy W2V CBOW 50-10 (v0.0.2) | 0.660385 |
| Latincy W2V CBOW 50-5 (v0.0.2) | 0.674623 |
| Latincy W2V SG 100-10 (v0.0.2) | 0.749581 |
| Latincy W2V SG 100-5 (v0.0.2) | 0.773869 |
| Latincy W2V SG 300-10 (v0.0.2) | 0.739531 |
| Latincy W2V SG 300-5 (v0.0.2) | 0.745394 |
| Latincy W2V SG 50-10 (v0.0.2) | 0.635260 |
| Latincy W2V SG 50-5 (v0.0.2) | 0.656198 |
Inference Providers
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