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-lr5e_6
  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-lr5e_6

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: 1.1811

## 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: 5e-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0831        | 0.51  | 6    | 2.0527          |
| 2.0602        | 1.53  | 13   | 2.0217          |
| 2.0191        | 2.55  | 20   | 1.9817          |
| 1.9825        | 3.57  | 27   | 1.9451          |
| 1.9646        | 4.51  | 33   | 1.9045          |
| 1.9049        | 5.53  | 40   | 1.8696          |
| 1.8708        | 6.55  | 47   | 1.8370          |
| 1.8597        | 7.57  | 54   | 1.8034          |
| 1.8119        | 8.51  | 60   | 1.7828          |
| 1.7937        | 9.53  | 67   | 1.7592          |
| 1.7699        | 10.55 | 74   | 1.7352          |
| 1.7492        | 11.57 | 81   | 1.7144          |
| 1.7242        | 12.51 | 87   | 1.6988          |
| 1.719         | 13.53 | 94   | 1.6788          |
| 1.6837        | 14.55 | 101  | 1.6611          |
| 1.6724        | 15.57 | 108  | 1.6420          |
| 1.6683        | 16.51 | 114  | 1.6240          |
| 1.6336        | 17.53 | 121  | 1.6057          |
| 1.6163        | 18.55 | 128  | 1.5872          |
| 1.5923        | 19.57 | 135  | 1.5668          |
| 1.5794        | 20.51 | 141  | 1.5539          |
| 1.5658        | 21.53 | 148  | 1.5327          |
| 1.5324        | 22.55 | 155  | 1.5131          |
| 1.523         | 23.57 | 162  | 1.4916          |
| 1.5045        | 24.51 | 168  | 1.4707          |
| 1.4709        | 25.53 | 175  | 1.4488          |
| 1.4638        | 26.55 | 182  | 1.4232          |
| 1.4426        | 27.57 | 189  | 1.3992          |
| 1.4043        | 28.51 | 195  | 1.3776          |
| 1.3797        | 29.53 | 202  | 1.3548          |
| 1.379         | 30.55 | 209  | 1.3348          |
| 1.3437        | 31.57 | 216  | 1.3199          |
| 1.338         | 32.51 | 222  | 1.3040          |
| 1.3048        | 33.53 | 229  | 1.2874          |
| 1.298         | 34.55 | 236  | 1.2761          |
| 1.2925        | 35.57 | 243  | 1.2652          |
| 1.277         | 36.51 | 249  | 1.2557          |
| 1.2679        | 37.53 | 256  | 1.2455          |
| 1.2551        | 38.55 | 263  | 1.2377          |
| 1.2395        | 39.57 | 270  | 1.2305          |
| 1.2384        | 40.51 | 276  | 1.2229          |
| 1.2342        | 41.53 | 283  | 1.2152          |
| 1.224         | 42.55 | 290  | 1.2077          |
| 1.2179        | 43.57 | 297  | 1.2058          |
| 1.2249        | 44.51 | 303  | 1.1987          |
| 1.2093        | 45.53 | 310  | 1.1964          |
| 1.2011        | 46.55 | 317  | 1.1911          |
| 1.2078        | 47.57 | 324  | 1.1865          |
| 1.1994        | 48.51 | 330  | 1.1846          |
| 1.1915        | 49.53 | 337  | 1.1810          |


### Framework versions

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