metadata
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base_lr0.001_seed42_basic_original_esp-kin-eng_train
results: []
xlm-roberta-base_lr0.001_seed42_basic_original_esp-kin-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: 0.0383
- Spearman Corr: nan
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: 0.001
- 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 | 1.63 | 200 | 0.0388 | nan |
| 0.1383 | 3.27 | 400 | 0.0382 | nan |
| 0.0519 | 4.9 | 600 | 0.0383 | nan |
| 0.0503 | 6.53 | 800 | 0.0383 | nan |
| 0.0488 | 8.16 | 1000 | 0.0384 | nan |
| 0.0488 | 9.8 | 1200 | 0.0384 | nan |
| 0.0489 | 11.43 | 1400 | 0.0388 | nan |
| 0.0491 | 13.06 | 1600 | 0.0383 | nan |
| 0.0487 | 14.69 | 1800 | 0.0382 | nan |
| 0.0486 | 16.33 | 2000 | 0.0391 | nan |
| 0.0486 | 17.96 | 2200 | 0.0383 | nan |
| 0.0486 | 19.59 | 2400 | 0.0383 | nan |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2