metadata
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base_lr5e-06_seed42_basic_original_amh-esp-eng_train
results: []
xlm-roberta-base_lr5e-06_seed42_basic_original_amh-esp-eng_train
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0208
- Spearman Corr: 0.7694
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
---|---|---|---|---|
No log | 1.59 | 200 | 0.0178 | 0.7278 |
0.0931 | 3.17 | 400 | 0.0197 | 0.7452 |
0.0276 | 4.76 | 600 | 0.0183 | 0.7513 |
0.0243 | 6.35 | 800 | 0.0158 | 0.7667 |
0.0243 | 7.94 | 1000 | 0.0182 | 0.7692 |
0.021 | 9.52 | 1200 | 0.0189 | 0.7704 |
0.0192 | 11.11 | 1400 | 0.0184 | 0.7656 |
0.0176 | 12.7 | 1600 | 0.0226 | 0.7691 |
0.0163 | 14.29 | 1800 | 0.0225 | 0.7696 |
0.0163 | 15.87 | 2000 | 0.0207 | 0.7718 |
0.0156 | 17.46 | 2200 | 0.0242 | 0.7697 |
0.0143 | 19.05 | 2400 | 0.0207 | 0.7664 |
0.0138 | 20.63 | 2600 | 0.0201 | 0.7721 |
0.013 | 22.22 | 2800 | 0.0208 | 0.7694 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2