metadata
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_v4_KQL
results: []
mistral_instruct_v4_KQL
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3304
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 |
|---|---|---|---|
| 0.981 | 0.1709 | 20 | 0.8715 |
| 0.6642 | 0.3419 | 40 | 0.5926 |
| 0.5325 | 0.5128 | 60 | 0.4796 |
| 0.4483 | 0.6838 | 80 | 0.4293 |
| 0.4118 | 0.8547 | 100 | 0.3956 |
| 0.3709 | 1.0256 | 120 | 0.3746 |
| 0.3597 | 1.1966 | 140 | 0.3595 |
| 0.3584 | 1.3675 | 160 | 0.3490 |
| 0.3235 | 1.5385 | 180 | 0.3378 |
| 0.3314 | 1.7094 | 200 | 0.3304 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1