Model save

README.md

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+---
+license: mit
+base_model: microsoft/Multilingual-MiniLM-L12-H384
+tags:
+- generated_from_trainer
+model-index:
+- name: trainRanker_test_EN_EN
+  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. -->
+
+# trainRanker_test_EN_EN
+
+This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1997
+
+## 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
+- lr_scheduler_warmup_steps: 750
+- training_steps: 25000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3064        | 0.04  | 2500  | 0.2716          |
+| 0.273         | 0.08  | 5000  | 0.2353          |
+| 0.2569        | 0.12  | 7500  | 0.2383          |
+| 0.2363        | 0.16  | 10000 | 0.2345          |
+| 0.2238        | 0.2   | 12500 | 0.2102          |
+| 0.2354        | 0.24  | 15000 | 0.2089          |
+| 0.2085        | 0.28  | 17500 | 0.2161          |
+| 0.2125        | 0.32  | 20000 | 0.1995          |
+| 0.217         | 0.36  | 22500 | 0.1975          |
+| 0.2236        | 0.4   | 25000 | 0.1997          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1