metadata
license: mit
base_model: microsoft/Multilingual-MiniLM-L12-H384
tags:
- generated_from_trainer
model-index:
- name: trainRanker_test_EN_EN
results: []
trainRanker_test_EN_EN
This model is a fine-tuned version of 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