xlm-roberta-base_original_kin-amh-eng_train_spearman_corr
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: 0.0298
- Spearman Corr: 0.7549
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: 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 | 1.75 | 200 | 0.0259 | 0.7039 |
0.0435 | 3.51 | 400 | 0.0246 | 0.7125 |
0.0203 | 5.26 | 600 | 0.0272 | 0.7445 |
0.0142 | 7.02 | 800 | 0.0322 | 0.7419 |
0.0112 | 8.77 | 1000 | 0.0286 | 0.7447 |
0.0091 | 10.53 | 1200 | 0.0293 | 0.7442 |
0.0074 | 12.28 | 1400 | 0.0313 | 0.7552 |
0.0064 | 14.04 | 1600 | 0.0284 | 0.7563 |
0.0064 | 15.79 | 1800 | 0.0304 | 0.7570 |
0.0053 | 17.54 | 2000 | 0.0309 | 0.7540 |
0.0046 | 19.3 | 2200 | 0.0301 | 0.7557 |
0.0042 | 21.05 | 2400 | 0.0305 | 0.7558 |
0.0039 | 22.81 | 2600 | 0.0286 | 0.7569 |
0.0036 | 24.56 | 2800 | 0.0285 | 0.7591 |
0.0034 | 26.32 | 3000 | 0.0282 | 0.7575 |
0.0033 | 28.07 | 3200 | 0.0291 | 0.7538 |
0.0033 | 29.82 | 3400 | 0.0298 | 0.7549 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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