metadata
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: openhermes-mistral-dpo-gptq
results: []
openhermes-mistral-dpo-gptq
This model is a fine-tuned version of TheBloke/OpenHermes-2-Mistral-7B-GPTQ on an unknown 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 0.0056 | 10 | nan |
| 0.0 | 0.0112 | 20 | nan |
| 0.0 | 0.0169 | 30 | nan |
| 0.0 | 0.0225 | 40 | nan |
| 0.0 | 0.0281 | 50 | nan |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.3
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1