metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: problem2-test
results: []
problem2-test
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2281
- Accuracy: 0.5574
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.9 | 7 | 6.2748 | 0.0 |
| 7.4671 | 1.9 | 14 | 5.1777 | 0.5738 |
| 5.3033 | 2.9 | 21 | 4.4616 | 0.5902 |
| 5.3033 | 3.9 | 28 | 5.1811 | 0.5246 |
| 4.1105 | 4.9 | 35 | 4.2281 | 0.5574 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.0
- Tokenizers 0.13.1