hs768-nh16-nl8_custom
This model is a fine-tuned version of on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 1.4879
- Accuracy: 0.6254
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
3.6661 | 0.35 | 500 | 2.8486 | 0.2991 |
2.1334 | 0.69 | 1000 | 1.5131 | 0.6188 |
1.5765 | 1.04 | 1500 | 1.4220 | 0.6434 |
1.43 | 1.39 | 2000 | 1.5366 | 0.5839 |
1.6168 | 1.74 | 2500 | 1.4929 | 0.5878 |
1.5878 | 2.08 | 3000 | 1.8057 | 0.5957 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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