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topicfit-all-MiniLM-L6-v2-sentence-label-epoch-8
binhcode25-finetuned/topicfit-all-MiniLM-L6-v2-sentence-label-epoch-8
topicfit-all-MiniLM-L6-v2-sentence-label-epoch-8 is a feature extraction model from binhcode25-finetuned. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 23, 2024
- SHA
- 6a1bca62
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. -->
topicfit-all-MiniLM-L6-v2-sentence-label-epoch-8
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0125 | 1.0 | 4880 | 0.0068 |
| 0.0036 | 2.0 | 9760 | 0.0021 |
| 0.0016 | 3.0 | 14640 | 0.0004 |
| 0.0003 | 4.0 | 19520 | 0.0000 |
| 0.0001 | 5.0 | 24400 | 0.0000 |
| 0.0004 | 6.0 | 29280 | 0.0000 |
| 0.0 | 7.0 | 34160 | 0.0000 |
| 0.0 | 8.0 | 39040 | 0.0000 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- Created
- Jul 22, 2024
- Updated
- Jul 23, 2024