saiga_llama3_8b-qdora-4bit_purpose
This model is a fine-tuned version of IlyaGusev/saiga_llama3_8b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9495
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0028 | 0.42 | 150 | 0.9817 |
| 1.092 | 0.84 | 300 | 0.9495 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.38.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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Model tree for slavamarcin/saiga_llama3_8b_Qdora_4bit_purpose
Base model
IlyaGusev/saiga_llama3_8b