license: apache-2.0 | |
library_name: peft | |
tags: | |
- trl | |
- sft | |
- generated_from_trainer | |
base_model: mistralai/Mistral-7B-Instruct-v0.2 | |
datasets: | |
- generator | |
model-index: | |
- name: mistral_instruct_generation | |
results: [] | |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
should probably proofread and complete it, then remove this comment. --> | |
# mistral_instruct_generation | |
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset. | |
It achieves the following results on the evaluation set: | |
- eval_loss: 1.3807 | |
- eval_runtime: 26.1673 | |
- eval_samples_per_second: 0.076 | |
- eval_steps_per_second: 0.038 | |
- epoch: 4.0 | |
- step: 20 | |
## 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: 4 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: constant | |
- lr_scheduler_warmup_steps: 0.03 | |
- training_steps: 100 | |
### Framework versions | |
- PEFT 0.11.1 | |
- Transformers 4.41.2 | |
- Pytorch 2.3.0+cu121 | |
- Datasets 2.19.2 | |
- Tokenizers 0.19.1 |