llm2vec-occiglot-mntp
This model is a fine-tuned version of occiglot/occiglot-7b-fr-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6350
- Accuracy: 0.8495
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.0312 | 100 | 1.0654 | 0.7634 |
No log | 0.0624 | 200 | 0.8477 | 0.8062 |
No log | 0.0936 | 300 | 0.7627 | 0.8233 |
No log | 0.1248 | 400 | 0.7124 | 0.8337 |
1.0065 | 0.1560 | 500 | 0.6822 | 0.8395 |
1.0065 | 0.1871 | 600 | 0.6665 | 0.8435 |
1.0065 | 0.2183 | 700 | 0.6565 | 0.8454 |
1.0065 | 0.2495 | 800 | 0.6352 | 0.8490 |
1.0065 | 0.2807 | 900 | 0.6251 | 0.8517 |
0.6298 | 0.3119 | 1000 | 0.6350 | 0.8495 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.0.1+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Model tree for AdrienB134/llm2vec-occiglot-mntp
Base model
occiglot/occiglot-7b-fr-enSpaces using AdrienB134/llm2vec-occiglot-mntp 4
Evaluation results
- v_measure on MTEB AlloProfClusteringP2Ptest set self-reported63.997
- v_measures on MTEB AlloProfClusteringP2Ptest set 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- v_measure on MTEB AlloProfClusteringS2Stest set self-reported29.933
- v_measures on MTEB AlloProfClusteringS2Stest set 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- map on MTEB AlloprofRerankingtest set self-reported37.093
- mrr on MTEB AlloprofRerankingtest set self-reported37.652
- map_at_1 on MTEB AlloprofRetrievaltest set self-reported3.325
- map_at_10 on MTEB AlloprofRetrievaltest set self-reported5.474
- map_at_100 on MTEB AlloprofRetrievaltest set self-reported6.156
- map_at_1000 on MTEB AlloprofRetrievaltest set self-reported6.319