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all-MiniLM-L6-v2-personal-project-default-2024-03-29
brugmark/all-MiniLM-L6-v2-personal-project-default-2024-03-29
all-MiniLM-L6-v2-personal-project-default-2024-03-29 is a fill-mask model from brugmark. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 29, 2024
- Updated
- Mar 29, 2024
- SHA
- f57178d3
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
all-MiniLM-L6-v2-personal-project-default-2024-03-29
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: 11.1466
- eval_runtime: 3.1633
- eval_samples_per_second: 6.006
- eval_steps_per_second: 0.316
- 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
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 29, 2024
- Updated
- Mar 29, 2024