Llama-3-8B-ARC-Challenge-0-9-LoRA-train-A
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4107
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7056 | 1.0 | 140 | 1.4748 |
| 1.4053 | 2.0 | 280 | 1.4209 |
| 1.4326 | 3.0 | 420 | 1.4107 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for mogmyij/Llama-3-8B-ARC-Challenge-0-9-LoRA-train-A
Base model
meta-llama/Meta-Llama-3-8B