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lora14
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.5245
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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.0164 | 0.34 | 20 | 7.0087 |
| 7.8077 | 0.68 | 40 | 7.8552 |
| 11.0909 | 1.03 | 60 | 10.3160 |
| 8.7005 | 1.37 | 80 | 7.1579 |
| 7.2103 | 1.71 | 100 | 6.5245 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
