Classify-model-v1.2
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- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1728
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- Accuracy: 0.9545
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.4496 | 1.0 | 11 | 0.8490 | 0.8 |
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| 0.6028 | 2.0 | 22 | 0.3205 | 0.8909 |
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| 0.183 | 3.0 | 33 | 0.2986 | 0.9273 |
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| 0.0749 | 4.0 | 44 | 0.2600 | 0.9455 |
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| 0.039 | 5.0 | 55 | 0.1932 | 0.9636 |
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| 0.0208 | 6.0 | 66 | 0.1570 | 0.9636 |
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| 0.0147 | 7.0 | 77 | 0.2016 | 0.9545 |
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| 0.0119 | 8.0 | 88 | 0.1818 | 0.9545 |
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| 0.0059 | 9.0 | 99 | 0.1700 | 0.9545 |
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| 0.0048 | 10.0 | 110 | 0.1728 | 0.9545 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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training_args.bin
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