safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-sft-lora-accum8-lr3e_5
  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. -->

# zephyr-7b-sft-lora-accum8-lr3e_5

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: 0.6104

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 50.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0441        | 0.51  | 6    | 1.9197          |
| 1.9066        | 1.53  | 13   | 1.7587          |
| 1.7223        | 2.55  | 20   | 1.6647          |
| 1.651         | 3.57  | 27   | 1.5758          |
| 1.5966        | 4.51  | 33   | 1.4932          |
| 1.4568        | 5.53  | 40   | 1.3932          |
| 1.3729        | 6.55  | 47   | 1.2837          |
| 1.3072        | 7.57  | 54   | 1.2049          |
| 1.196         | 8.51  | 60   | 1.1644          |
| 1.1675        | 9.53  | 67   | 1.1299          |
| 1.1349        | 10.55 | 74   | 1.1030          |
| 1.1079        | 11.57 | 81   | 1.0822          |
| 1.084         | 12.51 | 87   | 1.0677          |
| 1.0777        | 13.53 | 94   | 1.0514          |
| 1.0443        | 14.55 | 101  | 1.0369          |
| 1.0333        | 15.57 | 108  | 1.0226          |
| 1.0317        | 16.51 | 114  | 1.0103          |
| 1.0009        | 17.53 | 121  | 0.9972          |
| 0.9809        | 18.55 | 128  | 0.9830          |
| 0.9619        | 19.57 | 135  | 0.9673          |
| 0.9501        | 20.51 | 141  | 0.9589          |
| 0.9351        | 21.53 | 148  | 0.9411          |
| 0.9052        | 22.55 | 155  | 0.9274          |
| 0.8942        | 23.57 | 162  | 0.9113          |
| 0.8786        | 24.51 | 168  | 0.8971          |
| 0.8429        | 25.53 | 175  | 0.8800          |
| 0.8323        | 26.55 | 182  | 0.8607          |
| 0.8173        | 27.57 | 189  | 0.8427          |
| 0.7873        | 28.51 | 195  | 0.8262          |
| 0.7702        | 29.53 | 202  | 0.8127          |
| 0.7536        | 30.55 | 209  | 0.7957          |
| 0.7211        | 31.57 | 216  | 0.7831          |
| 0.7139        | 32.51 | 222  | 0.7689          |
| 0.6903        | 33.53 | 229  | 0.7508          |
| 0.6678        | 34.55 | 236  | 0.7359          |
| 0.6574        | 35.57 | 243  | 0.7226          |
| 0.6423        | 36.51 | 249  | 0.7091          |
| 0.622         | 37.53 | 256  | 0.6963          |
| 0.6055        | 38.55 | 263  | 0.6855          |
| 0.5969        | 39.57 | 270  | 0.6763          |
| 0.5886        | 40.51 | 276  | 0.6705          |
| 0.5708        | 41.53 | 283  | 0.6603          |
| 0.5591        | 42.55 | 290  | 0.6498          |
| 0.5554        | 43.57 | 297  | 0.6427          |
| 0.5488        | 44.51 | 303  | 0.6390          |
| 0.5416        | 45.53 | 310  | 0.6331          |
| 0.5274        | 46.55 | 317  | 0.6260          |
| 0.5333        | 47.57 | 324  | 0.6194          |
| 0.5168        | 48.51 | 330  | 0.6157          |
| 0.5161        | 49.53 | 337  | 0.6108          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
