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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: lc_reddit
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_reddit
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4421
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.893 | 1.0 | 306 | 1.8913 |
| 2.0254 | 2.0 | 612 | 1.8820 |
| 1.7988 | 3.0 | 918 | 1.8821 |
| 1.6315 | 4.0 | 1224 | 1.8907 |
| 1.6124 | 5.0 | 1530 | 1.9035 |
| 1.7146 | 6.0 | 1836 | 1.9222 |
| 1.5807 | 7.0 | 2142 | 1.9383 |
| 1.4356 | 8.0 | 2448 | 1.9796 |
| 1.4935 | 9.0 | 2754 | 1.9838 |
| 1.3923 | 10.0 | 3060 | 2.0112 |
| 1.5712 | 11.0 | 3366 | 2.0217 |
| 1.5216 | 12.0 | 3672 | 2.0493 |
| 1.2513 | 13.0 | 3978 | 2.0731 |
| 1.2956 | 14.0 | 4284 | 2.1151 |
| 1.5635 | 15.0 | 4590 | 2.1298 |
| 1.4956 | 16.0 | 4896 | 2.1525 |
| 1.3592 | 17.0 | 5202 | 2.1751 |
| 1.1305 | 18.0 | 5508 | 2.1893 |
| 1.1396 | 19.0 | 5814 | 2.2454 |
| 1.3858 | 20.0 | 6120 | 2.2797 |
| 1.3174 | 21.0 | 6426 | 2.2689 |
| 1.5609 | 22.0 | 6732 | 2.3098 |
| 1.3431 | 23.0 | 7038 | 2.3238 |
| 1.3111 | 24.0 | 7344 | 2.3742 |
| 1.1365 | 25.0 | 7650 | 2.3727 |
| 1.3318 | 26.0 | 7956 | 2.3978 |
| 1.3297 | 27.0 | 8262 | 2.3647 |
| 1.2178 | 28.0 | 8568 | 2.3971 |
| 1.2757 | 29.0 | 8874 | 2.4292 |
| 1.236 | 30.0 | 9180 | 2.4170 |
| 1.1888 | 31.0 | 9486 | 2.4439 |
| 1.0917 | 32.0 | 9792 | 2.4225 |
| 1.1148 | 33.0 | 10098 | 2.4166 |
| 1.1907 | 34.0 | 10404 | 2.4318 |
| 1.1906 | 35.0 | 10710 | 2.4352 |
| 1.2238 | 36.0 | 11016 | 2.4471 |
| 1.1596 | 37.0 | 11322 | 2.4382 |
| 1.2184 | 38.0 | 11628 | 2.4343 |
| 1.2428 | 39.0 | 11934 | 2.4422 |
| 1.3111 | 40.0 | 12240 | 2.4397 |
| 1.2845 | 41.0 | 12546 | 2.4460 |
| 1.3173 | 42.0 | 12852 | 2.4428 |
| 1.193 | 43.0 | 13158 | 2.4430 |
| 1.1774 | 44.0 | 13464 | 2.4425 |
| 1.1868 | 45.0 | 13770 | 2.4396 |
| 1.2042 | 46.0 | 14076 | 2.4430 |
| 1.2833 | 47.0 | 14382 | 2.4398 |
| 1.2766 | 48.0 | 14688 | 2.4410 |
| 1.4958 | 49.0 | 14994 | 2.4412 |
| 1.1868 | 50.0 | 15300 | 2.4421 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1 |