metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: M1_cross
results: []
M1_cross
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0066
- Pearson: 0.9828
- Spearmanr: 0.9147
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: 25
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 125.0
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|
| 0.0294 | 1.0 | 131 | 0.0457 | 0.8770 | 0.8351 |
| 0.0237 | 2.0 | 262 | 0.0302 | 0.9335 | 0.8939 |
| 0.015 | 3.0 | 393 | 0.0155 | 0.9594 | 0.9054 |
| 0.0177 | 4.0 | 524 | 0.0106 | 0.9778 | 0.9091 |
| 0.0087 | 5.0 | 655 | 0.0066 | 0.9828 | 0.9147 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1