peft safetensors trl sft generated_from_trainer base_model:teknium/OpenHermes-2.5-Mistral-7B license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: teknium/OpenHermes-2.5-Mistral-7B
model-index:
- name: paper_imp_new_format_1
  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. -->

# paper_imp_new_format_1

This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6201

## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 200
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.99          | 0.15  | 4    | 1.0009          |
| 1.0287        | 0.3   | 8    | 0.9440          |
| 0.9432        | 0.44  | 12   | 0.8927          |
| 0.829         | 0.59  | 16   | 0.8395          |
| 0.7702        | 0.74  | 20   | 0.7773          |
| 0.6886        | 0.89  | 24   | 0.7180          |
| 0.5844        | 1.04  | 28   | 0.6774          |
| 0.6016        | 1.19  | 32   | 0.6593          |
| 0.5237        | 1.33  | 36   | 0.6484          |
| 0.5505        | 1.48  | 40   | 0.6418          |
| 0.669         | 1.63  | 44   | 0.6350          |
| 0.4595        | 1.78  | 48   | 0.6320          |
| 0.5486        | 1.93  | 52   | 0.6290          |
| 0.539         | 2.07  | 56   | 0.6242          |
| 0.5089        | 2.22  | 60   | 0.6188          |
| 0.6012        | 2.37  | 64   | 0.6195          |
| 0.4286        | 2.52  | 68   | 0.6147          |
| 0.4335        | 2.67  | 72   | 0.6154          |
| 0.4584        | 2.81  | 76   | 0.6154          |
| 0.4597        | 2.96  | 80   | 0.6115          |
| 0.421         | 3.11  | 84   | 0.6076          |
| 0.4541        | 3.26  | 88   | 0.6131          |
| 0.3533        | 3.41  | 92   | 0.6199          |
| 0.4007        | 3.56  | 96   | 0.6142          |
| 0.3876        | 3.7   | 100  | 0.6104          |
| 0.4258        | 3.85  | 104  | 0.6073          |
| 0.4537        | 4.0   | 108  | 0.6059          |
| 0.3486        | 4.15  | 112  | 0.6098          |
| 0.3399        | 4.3   | 116  | 0.6172          |
| 0.3826        | 4.44  | 120  | 0.6215          |
| 0.3813        | 4.59  | 124  | 0.6210          |
| 0.3835        | 4.74  | 128  | 0.6192          |
| 0.3864        | 4.89  | 132  | 0.6173          |
| 0.3216        | 5.04  | 136  | 0.6147          |
| 0.3923        | 5.19  | 140  | 0.6151          |
| 0.3757        | 5.33  | 144  | 0.6158          |
| 0.2861        | 5.48  | 148  | 0.6164          |
| 0.3838        | 5.63  | 152  | 0.6174          |
| 0.3669        | 5.78  | 156  | 0.6180          |
| 0.3405        | 5.93  | 160  | 0.6188          |
| 0.3355        | 6.07  | 164  | 0.6188          |
| 0.3533        | 6.22  | 168  | 0.6193          |
| 0.4245        | 6.37  | 172  | 0.6191          |
| 0.3257        | 6.52  | 176  | 0.6196          |
| 0.3361        | 6.67  | 180  | 0.6198          |
| 0.3595        | 6.81  | 184  | 0.6198          |
| 0.3075        | 6.96  | 188  | 0.6198          |
| 0.4133        | 7.11  | 192  | 0.6199          |
| 0.3341        | 7.26  | 196  | 0.6197          |
| 0.385         | 7.41  | 200  | 0.6197          |
| 0.3254        | 7.56  | 204  | 0.6198          |
| 0.385         | 7.7   | 208  | 0.6199          |
| 0.3332        | 7.85  | 212  | 0.6197          |
| 0.2648        | 8.0   | 216  | 0.6198          |
| 0.3602        | 8.15  | 220  | 0.6203          |
| 0.4129        | 8.3   | 224  | 0.6200          |
| 0.3716        | 8.44  | 228  | 0.6196          |
| 0.3152        | 8.59  | 232  | 0.6200          |
| 0.3463        | 8.74  | 236  | 0.6199          |
| 0.3357        | 8.89  | 240  | 0.6198          |
| 0.3029        | 9.04  | 244  | 0.6199          |
| 0.3679        | 9.19  | 248  | 0.6200          |
| 0.3911        | 9.33  | 252  | 0.6201          |
| 0.2844        | 9.48  | 256  | 0.6199          |
| 0.2584        | 9.63  | 260  | 0.6199          |
| 0.3966        | 9.78  | 264  | 0.6200          |
| 0.3423        | 9.93  | 268  | 0.6201          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0