llama3_magpie
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the mlfoundations-dev/webinstruct_v1_beta_stage_3_filtered_shareGPT_format dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- 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
- training_steps: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0030 | 1 | nan |
Framework versions
- Transformers 4.45.0
- Pytorch 2.5.0+cu124
- Datasets 2.19.2
- Tokenizers 0.20.0
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Model tree for mlfoundations-dev/llama3_magpie
Base model
mistralai/Mistral-7B-v0.1