metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral_instruct_generation
results: []
mistral_instruct_generation
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: 1.6300
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
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8804 | 0.17 | 20 | 1.8834 |
| 1.8364 | 0.34 | 40 | 1.8631 |
| 1.8363 | 0.51 | 60 | 1.8547 |
| 1.8312 | 0.68 | 80 | 1.8298 |
| 1.7648 | 0.85 | 100 | 1.8102 |
| 1.6197 | 1.02 | 120 | 1.7888 |
| 1.6869 | 1.19 | 140 | 1.7887 |
| 1.5637 | 1.36 | 160 | 1.7672 |
| 1.6921 | 1.53 | 180 | 1.7476 |
| 1.5883 | 1.69 | 200 | 1.7305 |
| 1.5235 | 1.86 | 220 | 1.7099 |
| 1.6134 | 2.03 | 240 | 1.7045 |
| 1.4006 | 2.2 | 260 | 1.7191 |
| 1.5571 | 2.37 | 280 | 1.6963 |
| 1.3889 | 2.54 | 300 | 1.6869 |
| 1.4278 | 2.71 | 320 | 1.6658 |
| 1.3868 | 2.88 | 340 | 1.6592 |
| 1.1515 | 3.05 | 360 | 1.6576 |
| 1.2761 | 3.22 | 380 | 1.6553 |
| 1.1679 | 3.39 | 400 | 1.6439 |
| 1.3966 | 3.56 | 420 | 1.6301 |
| 1.2536 | 3.73 | 440 | 1.6200 |
| 1.262 | 3.9 | 460 | 1.6300 |
Framework versions
- PEFT 0.8.2
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2