llm3br256
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the mini_akash_unifo_757 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0029
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: 0.0001
- train_batch_size: 36
- eval_batch_size: 36
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 288
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0145 | 4.4444 | 5 | 0.0093 |
| 0.0052 | 8.8889 | 10 | 0.0057 |
| 0.0042 | 13.3333 | 15 | 0.0036 |
| 0.0029 | 17.7778 | 20 | 0.0030 |
| 0.0069 | 22.2222 | 25 | 0.0029 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 3
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for sizhkhy/mini_akash_unifo_757
Base model
meta-llama/Llama-3.2-3B-Instruct
Finetuned
unsloth/Llama-3.2-3B-Instruct