llama3_8b_baseline_instructskillmix
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the PrincetonPLI/Instruct-SkillMix-SDD dataset. It achieves the following results on the evaluation set:
- Loss: 1.7067
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 1738
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.5333 | 1 | 1.8346 |
| No log | 1.6 | 3 | 1.7067 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for gsmyrnis/llama3_8b_baseline_instructskillmix
Base model
meta-llama/Meta-Llama-3-8B