llama1
This model is a fine-tuned version of huggyllama/llama-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9259
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.04
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.024 | 1.0 | 1 | 0.9259 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0
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Model tree for nahyeon00/llama1
Base model
huggyllama/llama-7b