model
This model is a fine-tuned version of on the nberkowitz/gpn_original_balanced_v1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1202
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: 64
- eval_batch_size: 512
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 120000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.118 | 3.04 | 60000 | 1.1374 |
| 1.0932 | 6.07 | 120000 | 1.1205 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.13.3
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