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-lr1e_5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-sft-lora-accum8-lr1e_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: 1.0319

## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.078         | 0.51  | 6    | 2.0305          |
| 2.0322        | 1.53  | 13   | 1.9523          |
| 1.9301        | 2.55  | 20   | 1.8814          |
| 1.8757        | 3.57  | 27   | 1.8209          |
| 1.841         | 4.51  | 33   | 1.7722          |
| 1.7661        | 5.53  | 40   | 1.7291          |
| 1.731         | 6.55  | 47   | 1.6904          |
| 1.713         | 7.57  | 54   | 1.6531          |
| 1.6557        | 8.51  | 60   | 1.6243          |
| 1.6319        | 9.53  | 67   | 1.5889          |
| 1.5989        | 10.55 | 74   | 1.5500          |
| 1.5556        | 11.57 | 81   | 1.5098          |
| 1.5165        | 12.51 | 87   | 1.4754          |
| 1.4945        | 13.53 | 94   | 1.4282          |
| 1.4198        | 14.55 | 101  | 1.3778          |
| 1.3823        | 15.57 | 108  | 1.3291          |
| 1.3576        | 16.51 | 114  | 1.2925          |
| 1.2917        | 17.53 | 121  | 1.2570          |
| 1.2599        | 18.55 | 128  | 1.2283          |
| 1.2257        | 19.57 | 135  | 1.2033          |
| 1.2123        | 20.51 | 141  | 1.1905          |
| 1.1966        | 21.53 | 148  | 1.1724          |
| 1.1694        | 22.55 | 155  | 1.1592          |
| 1.1665        | 23.57 | 162  | 1.1471          |
| 1.1559        | 24.51 | 168  | 1.1369          |
| 1.1383        | 25.53 | 175  | 1.1288          |
| 1.141         | 26.55 | 182  | 1.1200          |
| 1.1334        | 27.57 | 189  | 1.1138          |
| 1.1193        | 28.51 | 195  | 1.1079          |
| 1.1079        | 29.53 | 202  | 1.1016          |
| 1.1188        | 30.55 | 209  | 1.0961          |
| 1.1006        | 31.57 | 216  | 1.0916          |
| 1.1016        | 32.51 | 222  | 1.0851          |
| 1.0801        | 33.53 | 229  | 1.0783          |
| 1.0846        | 34.55 | 236  | 1.0758          |
| 1.0828        | 35.57 | 243  | 1.0725          |
| 1.0758        | 36.51 | 249  | 1.0694          |
| 1.0749        | 37.53 | 256  | 1.0646          |
| 1.0626        | 38.55 | 263  | 1.0627          |
| 1.0575        | 39.57 | 270  | 1.0592          |
| 1.0583        | 40.51 | 276  | 1.0555          |
| 1.0548        | 41.53 | 283  | 1.0518          |
| 1.0495        | 42.55 | 290  | 1.0468          |
| 1.0449        | 43.57 | 297  | 1.0469          |
| 1.0527        | 44.51 | 303  | 1.0420          |
| 1.0411        | 45.53 | 310  | 1.0415          |
| 1.0325        | 46.55 | 317  | 1.0384          |
| 1.0404        | 47.57 | 324  | 1.0353          |
| 1.0326        | 48.51 | 330  | 1.0337          |
| 1.0262        | 49.53 | 337  | 1.0317          |


### Framework versions

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