furina_seed42_eng_kin_amh_cross_2e-05
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0237
- Spearman Corr: 0.7281
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 | 0.59 | 200 | 0.0274 | 0.5858 |
No log | 1.17 | 400 | 0.0222 | 0.6777 |
No log | 1.76 | 600 | 0.0266 | 0.7074 |
0.0409 | 2.35 | 800 | 0.0264 | 0.7084 |
0.0409 | 2.93 | 1000 | 0.0214 | 0.7181 |
0.0409 | 3.52 | 1200 | 0.0209 | 0.7224 |
0.02 | 4.11 | 1400 | 0.0213 | 0.7251 |
0.02 | 4.69 | 1600 | 0.0246 | 0.7180 |
0.02 | 5.28 | 1800 | 0.0270 | 0.7267 |
0.02 | 5.87 | 2000 | 0.0232 | 0.7295 |
0.014 | 6.45 | 2200 | 0.0218 | 0.7259 |
0.014 | 7.04 | 2400 | 0.0238 | 0.7276 |
0.014 | 7.62 | 2600 | 0.0224 | 0.7192 |
0.0102 | 8.21 | 2800 | 0.0237 | 0.7281 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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