all-MiniLM-L6-v2-personal-project-default-2024-03-22
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 11.3009
- eval_runtime: 5.0146
- eval_samples_per_second: 5.584
- eval_steps_per_second: 0.199
- step: 0
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for brugmark/all-MiniLM-L6-v2-personal-project-default-2024-03-22
Base model
sentence-transformers/all-MiniLM-L6-v2