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_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-lr3e_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: 1.4622

## 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-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0845        | 0.51  | 6    | 2.0584          |
| 2.068         | 1.53  | 13   | 2.0440          |
| 2.0512        | 2.55  | 20   | 2.0264          |
| 2.0319        | 3.57  | 27   | 2.0058          |
| 2.0251        | 4.51  | 33   | 1.9782          |
| 1.9819        | 5.53  | 40   | 1.9558          |
| 1.9596        | 6.55  | 47   | 1.9264          |
| 1.9494        | 7.57  | 54   | 1.9030          |
| 1.9132        | 8.51  | 60   | 1.8867          |
| 1.8962        | 9.53  | 67   | 1.8628          |
| 1.8742        | 10.55 | 74   | 1.8444          |
| 1.8577        | 11.57 | 81   | 1.8221          |
| 1.8321        | 12.51 | 87   | 1.8100          |
| 1.8306        | 13.53 | 94   | 1.7924          |
| 1.7979        | 14.55 | 101  | 1.7773          |
| 1.791         | 15.57 | 108  | 1.7632          |
| 1.7883        | 16.51 | 114  | 1.7495          |
| 1.7608        | 17.53 | 121  | 1.7364          |
| 1.75          | 18.55 | 128  | 1.7245          |
| 1.7351        | 19.57 | 135  | 1.7115          |
| 1.7265        | 20.51 | 141  | 1.7055          |
| 1.7191        | 21.53 | 148  | 1.6928          |
| 1.6983        | 22.55 | 155  | 1.6830          |
| 1.6958        | 23.57 | 162  | 1.6723          |
| 1.6862        | 24.51 | 168  | 1.6620          |
| 1.6699        | 25.53 | 175  | 1.6528          |
| 1.6718        | 26.55 | 182  | 1.6424          |
| 1.6637        | 27.57 | 189  | 1.6338          |
| 1.6483        | 28.51 | 195  | 1.6256          |
| 1.6333        | 29.53 | 202  | 1.6159          |
| 1.6415        | 30.55 | 209  | 1.6068          |
| 1.6212        | 31.57 | 216  | 1.5987          |
| 1.6196        | 32.51 | 222  | 1.5890          |
| 1.595         | 33.53 | 229  | 1.5779          |
| 1.596         | 34.55 | 236  | 1.5714          |
| 1.5919        | 35.57 | 243  | 1.5647          |
| 1.5814        | 36.51 | 249  | 1.5579          |
| 1.574         | 37.53 | 256  | 1.5486          |
| 1.5621        | 38.55 | 263  | 1.5426          |
| 1.5476        | 39.57 | 270  | 1.5344          |
| 1.5469        | 40.51 | 276  | 1.5263          |
| 1.5418        | 41.53 | 283  | 1.5177          |
| 1.5305        | 42.55 | 290  | 1.5082          |
| 1.523         | 43.57 | 297  | 1.5043          |
| 1.5282        | 44.51 | 303  | 1.4947          |
| 1.5095        | 45.53 | 310  | 1.4895          |
| 1.4989        | 46.55 | 317  | 1.4816          |
| 1.5023        | 47.57 | 324  | 1.4734          |
| 1.491         | 48.51 | 330  | 1.4687          |
| 1.4814        | 49.53 | 337  | 1.4620          |


### Framework versions

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