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Orca_End
This model is a fine-tuned version of /home/ray/default/save/SFT_merge on the WordProblems_SFT_LLama_End dataset. It achieves the following results on the evaluation set:
- Loss: 0.1417
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2267 | 0.2341 | 500 | 0.2229 |
| 0.177 | 0.4682 | 1000 | 0.1735 |
| 0.1592 | 0.7022 | 1500 | 0.1591 |
| 0.1572 | 0.9363 | 2000 | 0.1515 |
| 0.142 | 1.1704 | 2500 | 0.1472 |
| 0.1376 | 1.4045 | 3000 | 0.1441 |
| 0.1569 | 1.6386 | 3500 | 0.1425 |
| 0.1413 | 1.8727 | 4000 | 0.1417 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1