End of training

README.md

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+---
+license: apache-2.0
+base_model: sentence-transformers/all-MiniLM-L6-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: sbert_imdb_fast
+  results: []
+---
+
+<!-- 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. -->
+
+# sbert_imdb_fast
+
+This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2458
+- Accuracy: 0.9256
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3444        | 1.0   | 781  | 0.2201          | 0.9110   |
+| 0.2001        | 2.0   | 1563 | 0.2423          | 0.9058   |
+| 0.1655        | 3.0   | 2344 | 0.2117          | 0.9247   |
+| 0.1292        | 4.0   | 3126 | 0.2203          | 0.9253   |
+| 0.1115        | 5.0   | 3905 | 0.2458          | 0.9256   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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