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redpajama-7b-qlora-oig-chip
This model is a fine-tuned version of togethercomputer/RedPajama-INCITE-7B-Chat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0766
- Accuracy: 0.9820
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8862 | 0.16 | 500 | 0.1330 | 0.9787 |
| 0.1219 | 0.32 | 1000 | 0.1058 | 0.9793 |
| 0.0939 | 0.48 | 1500 | 0.0899 | 0.9802 |
| 0.087 | 0.64 | 2000 | 0.0857 | 0.9808 |
| 0.0837 | 0.8 | 2500 | 0.0817 | 0.9813 |
| 0.0789 | 0.96 | 3000 | 0.0776 | 0.9819 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
