AdrienB134 / llm2vec-occiglot-mntp

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Model's Last Updated: May 15 2024

Introduction of llm2vec-occiglot-mntp

Model Details of llm2vec-occiglot-mntp

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

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