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-accum4-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-accum4-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: 0.7880

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.041         | 0.55  | 13   | 1.9551          |
| 1.8921        | 1.57  | 27   | 1.8206          |
| 1.7735        | 2.55  | 40   | 1.7331          |
| 1.7122        | 3.57  | 54   | 1.6613          |
| 1.63          | 4.55  | 67   | 1.5922          |
| 1.5552        | 5.57  | 81   | 1.5170          |
| 1.4953        | 6.55  | 94   | 1.4338          |
| 1.3904        | 7.57  | 108  | 1.3306          |
| 1.2882        | 8.55  | 121  | 1.2588          |
| 1.2282        | 9.57  | 135  | 1.2057          |
| 1.2016        | 10.55 | 148  | 1.1698          |
| 1.1707        | 11.57 | 162  | 1.1430          |
| 1.1417        | 12.55 | 175  | 1.1254          |
| 1.1281        | 13.57 | 189  | 1.1089          |
| 1.1005        | 14.55 | 202  | 1.0957          |
| 1.101         | 15.57 | 216  | 1.0832          |
| 1.0825        | 16.55 | 229  | 1.0708          |
| 1.0743        | 17.57 | 243  | 1.0605          |
| 1.0642        | 18.55 | 256  | 1.0508          |
| 1.0486        | 19.57 | 270  | 1.0392          |
| 1.0383        | 20.55 | 283  | 1.0343          |
| 1.0281        | 21.57 | 297  | 1.0229          |
| 1.0129        | 22.55 | 310  | 1.0152          |
| 0.9941        | 23.57 | 324  | 1.0072          |
| 1.0026        | 24.55 | 337  | 0.9972          |
| 0.9769        | 25.57 | 351  | 0.9888          |
| 0.9641        | 26.55 | 364  | 0.9800          |
| 0.9636        | 27.57 | 378  | 0.9725          |
| 0.9503        | 28.55 | 391  | 0.9626          |
| 0.9463        | 29.57 | 405  | 0.9541          |
| 0.9194        | 30.55 | 418  | 0.9462          |
| 0.9213        | 31.57 | 432  | 0.9374          |
| 0.8971        | 32.55 | 445  | 0.9283          |
| 0.8972        | 33.57 | 459  | 0.9160          |
| 0.872         | 34.55 | 472  | 0.9080          |
| 0.8633        | 35.57 | 486  | 0.9000          |
| 0.8565        | 36.55 | 499  | 0.8920          |
| 0.8479        | 37.57 | 513  | 0.8804          |
| 0.8332        | 38.55 | 526  | 0.8737          |
| 0.8216        | 39.57 | 540  | 0.8650          |
| 0.8112        | 40.55 | 553  | 0.8568          |
| 0.7988        | 41.57 | 567  | 0.8463          |
| 0.7862        | 42.55 | 580  | 0.8370          |
| 0.7675        | 43.57 | 594  | 0.8311          |
| 0.761         | 44.55 | 607  | 0.8224          |
| 0.757         | 45.57 | 621  | 0.8158          |
| 0.7426        | 46.55 | 634  | 0.8089          |
| 0.7303        | 47.57 | 648  | 0.8007          |
| 0.7169        | 48.55 | 661  | 0.7946          |
| 0.7249        | 49.57 | 675  | 0.7884          |


### Framework versions

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