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license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
model-index:
- name: lc_full_packing
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. -->
# lc_full_packing
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6843
## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.658 | 1.0 | 80 | 1.6224 |
| 1.5504 | 2.0 | 160 | 1.5658 |
| 1.5401 | 3.0 | 240 | 1.5452 |
| 1.5012 | 4.0 | 320 | 1.5356 |
| 1.5873 | 5.0 | 400 | 1.5318 |
| 1.4235 | 6.0 | 480 | 1.5295 |
| 1.4938 | 7.0 | 560 | 1.5312 |
| 1.4809 | 8.0 | 640 | 1.5340 |
| 1.3717 | 9.0 | 720 | 1.5361 |
| 1.5824 | 10.0 | 800 | 1.5430 |
| 1.4478 | 11.0 | 880 | 1.5456 |
| 1.4124 | 12.0 | 960 | 1.5535 |
| 1.3804 | 13.0 | 1040 | 1.5635 |
| 1.3416 | 14.0 | 1120 | 1.5694 |
| 1.3678 | 15.0 | 1200 | 1.5820 |
| 1.3439 | 16.0 | 1280 | 1.5922 |
| 1.2532 | 17.0 | 1360 | 1.6031 |
| 1.2628 | 18.0 | 1440 | 1.5963 |
| 1.4167 | 19.0 | 1520 | 1.6095 |
| 1.2727 | 20.0 | 1600 | 1.6200 |
| 1.3244 | 21.0 | 1680 | 1.6197 |
| 1.2597 | 22.0 | 1760 | 1.6325 |
| 1.2578 | 23.0 | 1840 | 1.6415 |
| 1.3411 | 24.0 | 1920 | 1.6453 |
| 1.2795 | 25.0 | 2000 | 1.6495 |
| 1.2928 | 26.0 | 2080 | 1.6509 |
| 1.2235 | 27.0 | 2160 | 1.6586 |
| 1.2335 | 28.0 | 2240 | 1.6604 |
| 1.1769 | 29.0 | 2320 | 1.6701 |
| 1.2284 | 30.0 | 2400 | 1.6681 |
| 1.2416 | 31.0 | 2480 | 1.6704 |
| 1.3158 | 32.0 | 2560 | 1.6737 |
| 1.2734 | 33.0 | 2640 | 1.6806 |
| 1.2803 | 34.0 | 2720 | 1.6815 |
| 1.1976 | 35.0 | 2800 | 1.6803 |
| 1.2457 | 36.0 | 2880 | 1.6801 |
| 1.2039 | 37.0 | 2960 | 1.6831 |
| 1.1931 | 38.0 | 3040 | 1.6824 |
| 1.2337 | 39.0 | 3120 | 1.6841 |
| 1.2167 | 40.0 | 3200 | 1.6833 |
| 1.1514 | 41.0 | 3280 | 1.6847 |
| 1.2817 | 42.0 | 3360 | 1.6841 |
| 1.1658 | 43.0 | 3440 | 1.6837 |
| 1.2635 | 44.0 | 3520 | 1.6841 |
| 1.0984 | 45.0 | 3600 | 1.6842 |
| 1.2229 | 46.0 | 3680 | 1.6843 |
| 1.26 | 47.0 | 3760 | 1.6840 |
| 1.1621 | 48.0 | 3840 | 1.6844 |
| 1.2998 | 49.0 | 3920 | 1.6848 |
| 1.2054 | 50.0 | 4000 | 1.6843 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1 |