Llama3.1-Mamba-3B-distill-0.2
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the JunxiongWang/sftdatasetv3 dataset. It achieves the following results on the evaluation set:
- Loss: 324.6409
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 7
- gradient_accumulation_steps: 4
- total_train_batch_size: 56
- total_eval_batch_size: 28
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 287.8969 | 1.0 | 59423 | 324.6409 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.1.1+cu118
- Datasets 4.1.1
- Tokenizers 0.19.1
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Model tree for ratulina/Llama3.1-Mamba-3B-distill-0.2
Base model
meta-llama/Llama-3.2-3B-Instruct