prometheus-7b-preference-0.1p-rare-seed42
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the preference-data dataset. It achieves the following results on the evaluation set:
- Loss: 0.4708
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4741 | 0.9994 | 1325 | 0.4708 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for terry69/prometheus-7b-preference-0.1p-rare-seed42
Base model
mistralai/Mistral-7B-Instruct-v0.2