llamaduo_synth_ds_v0.1
This model is a fine-tuned version of google/gemma-7b on the chansung/synth_ds dataset. It achieves the following results on the evaluation set:
- Loss: 3.8292
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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7837 | 0.9995 | 939 | 1.9731 |
| 0.7509 | 2.0 | 1879 | 1.9719 |
| 0.7086 | 2.9995 | 2817 | 2.0286 |
| 0.6156 | 4.0 | 3757 | 2.1647 |
| 0.4937 | 4.9995 | 4696 | 2.3686 |
| 0.4075 | 6.0 | 5636 | 2.7269 |
| 0.3395 | 6.9995 | 6575 | 3.1681 |
| 0.2962 | 8.0 | 7515 | 3.6134 |
| 0.284 | 8.9995 | 8454 | 3.8100 |
| 0.2782 | 9.9957 | 9390 | 3.8292 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1
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google/gemma-7b