End of training

README.md

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+---
+license: mit
+base_model: microsoft/Multilingual-MiniLM-L12-H384
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Multilingual-MiniLM-L12-H384-finetuned-sst2
+  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. -->
+
+# Multilingual-MiniLM-L12-H384-finetuned-sst2
+
+This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3672
+- Accuracy: 0.9094
+
+## 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
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2768        | 1.0   | 4210  | 0.3380          | 0.875    |
+| 0.2142        | 2.0   | 8420  | 0.3203          | 0.9014   |
+| 0.162         | 3.0   | 12630 | 0.3797          | 0.8968   |
+| 0.145         | 4.0   | 16840 | 0.3672          | 0.9094   |
+| 0.1306        | 5.0   | 21050 | 0.3908          | 0.9083   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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