gpt-neo-1.3B_peft_ft
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.5942
- Accuracy: 9630.1814
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: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 9.3535 | 12436.1706 |
| No log | 2.0 | 2 | 8.6990 | 13080.6173 |
| No log | 3.0 | 3 | 8.1906 | 9042.9082 |
| No log | 4.0 | 4 | 7.7776 | 9702.7354 |
| No log | 5.0 | 5 | 7.5942 | 9630.1814 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ishikaibm/gpt-neo-1.3B_peft_ft
Base model
google-bert/bert-base-uncased