metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: mistral_instruct_generation_1
results: []
mistral_instruct_generation_1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.1697
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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1269 | 1.05 | 20 | 0.9776 |
| 0.7172 | 2.11 | 40 | 0.6484 |
| 0.3904 | 3.16 | 60 | 0.4038 |
| 0.2259 | 4.21 | 80 | 0.2688 |
| 0.1255 | 5.26 | 100 | 0.2077 |
| 0.0844 | 6.32 | 120 | 0.1844 |
| 0.0702 | 7.37 | 140 | 0.1669 |
| 0.0596 | 8.42 | 160 | 0.1673 |
| 0.0471 | 9.47 | 180 | 0.1629 |
| 0.0378 | 10.53 | 200 | 0.1697 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1