End of training
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README.md
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---
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license: apache-2.0
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base_model: sentence-transformers/all-mpnet-base-v2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: sbert_imdb
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sbert_imdb
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This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2169
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- Accuracy: 0.9532
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.1719 | 0.9997 | 1562 | 0.1483 | 0.9469 |
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| 0.1195 | 2.0 | 3125 | 0.1756 | 0.9521 |
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| 0.0765 | 2.9997 | 4687 | 0.2224 | 0.9468 |
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| 0.0421 | 4.0 | 6250 | 0.2169 | 0.9532 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jul18_05-22-38_f7305e005c5f/events.out.tfevents.1721280158.f7305e005c5f.207.0
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