metadata
tags:
- generated_from_trainer
model-index:
- name: baseline
results: []
baseline
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2583
- Exact Match: 0.0
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: 100
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 400
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 4000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|---|---|---|---|---|
| 6.6009 | 1.0 | 25 | 5.6681 | 0.0 |
| 5.9582 | 2.0 | 50 | 4.4844 | 0.0 |
| 5.0101 | 3.0 | 75 | 3.7434 | 0.0 |
| 4.3172 | 4.0 | 100 | 3.4055 | 0.0 |
| 3.9672 | 5.0 | 125 | 3.2224 | 0.0 |
| 3.7659 | 6.0 | 150 | 3.0110 | 0.0 |
| 3.5416 | 7.0 | 175 | 2.7741 | 0.0 |
| 3.3002 | 8.0 | 200 | 2.4967 | 0.0 |
| 3.0412 | 9.0 | 225 | 2.2354 | 0.0 |
| 2.8117 | 10.0 | 250 | 2.1391 | 0.0 |
| 2.6168 | 11.0 | 275 | 2.0822 | 0.0 |
| 2.4624 | 12.0 | 300 | 2.0147 | 0.0 |
| 2.3253 | 13.0 | 325 | 1.9378 | 0.0 |
| 2.2152 | 14.0 | 350 | 1.8335 | 0.0 |
| 2.11 | 15.0 | 375 | 1.7586 | 0.0 |
| 2.0029 | 16.0 | 400 | 1.6847 | 0.0 |
| 1.9103 | 17.0 | 425 | 1.5874 | 0.0 |
| 1.8166 | 18.0 | 450 | 1.5552 | 0.0 |
| 1.7264 | 19.0 | 475 | 1.3748 | 0.0 |
| 1.6562 | 20.0 | 500 | 1.2583 | 0.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0