---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-sft-lora-accum4-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-accum4-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: 1.0318

## 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: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0685        | 0.55  | 13   | 2.0233          |
| 1.9972        | 1.57  | 27   | 1.9438          |
| 1.9109        | 2.55  | 40   | 1.8720          |
| 1.8583        | 3.57  | 54   | 1.8096          |
| 1.7903        | 4.55  | 67   | 1.7596          |
| 1.7454        | 5.57  | 81   | 1.7169          |
| 1.7146        | 6.55  | 94   | 1.6789          |
| 1.6737        | 7.57  | 108  | 1.6395          |
| 1.6289        | 8.55  | 121  | 1.6056          |
| 1.5934        | 9.57  | 135  | 1.5665          |
| 1.565         | 10.55 | 148  | 1.5258          |
| 1.519         | 11.57 | 162  | 1.4776          |
| 1.4593        | 12.55 | 175  | 1.4281          |
| 1.4156        | 13.57 | 189  | 1.3676          |
| 1.3512        | 14.55 | 202  | 1.3222          |
| 1.3146        | 15.57 | 216  | 1.2825          |
| 1.2798        | 16.55 | 229  | 1.2492          |
| 1.2532        | 17.57 | 243  | 1.2225          |
| 1.2277        | 18.55 | 256  | 1.2033          |
| 1.208         | 19.57 | 270  | 1.1832          |
| 1.1944        | 20.55 | 283  | 1.1732          |
| 1.1799        | 21.57 | 297  | 1.1586          |
| 1.1621        | 22.55 | 310  | 1.1494          |
| 1.1448        | 23.57 | 324  | 1.1393          |
| 1.1564        | 24.55 | 337  | 1.1301          |
| 1.1293        | 25.57 | 351  | 1.1233          |
| 1.1228        | 26.55 | 364  | 1.1160          |
| 1.1266        | 27.57 | 378  | 1.1106          |
| 1.1159        | 28.55 | 391  | 1.1047          |
| 1.125         | 29.57 | 405  | 1.0989          |
| 1.094         | 30.55 | 418  | 1.0941          |
| 1.1077        | 31.57 | 432  | 1.0903          |
| 1.0874        | 32.55 | 445  | 1.0834          |
| 1.0957        | 33.57 | 459  | 1.0769          |
| 1.0755        | 34.55 | 472  | 1.0750          |
| 1.0705        | 35.57 | 486  | 1.0719          |
| 1.0749        | 36.55 | 499  | 1.0688          |
| 1.0742        | 37.57 | 513  | 1.0641          |
| 1.064         | 38.55 | 526  | 1.0626          |
| 1.0569        | 39.57 | 540  | 1.0593          |
| 1.0686        | 40.55 | 553  | 1.0554          |
| 1.059         | 41.57 | 567  | 1.0517          |
| 1.0588        | 42.55 | 580  | 1.0469          |
| 1.0447        | 43.57 | 594  | 1.0471          |
| 1.0356        | 44.55 | 607  | 1.0421          |
| 1.0431        | 45.57 | 621  | 1.0416          |
| 1.0195        | 46.55 | 634  | 1.0387          |
| 1.0326        | 47.57 | 648  | 1.0356          |
| 1.0227        | 48.55 | 661  | 1.0341          |
| 1.0403        | 49.57 | 675  | 1.0317          |


### Framework versions

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