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_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-lr1e_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: 1.6318

## 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-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0813        | 0.55  | 13   | 2.0600          |
| 2.0806        | 1.57  | 27   | 2.0523          |
| 2.0639        | 2.55  | 40   | 2.0440          |
| 2.0529        | 3.57  | 54   | 2.0326          |
| 2.0351        | 4.55  | 67   | 2.0158          |
| 2.0181        | 5.57  | 81   | 1.9973          |
| 2.0016        | 6.55  | 94   | 1.9805          |
| 1.9885        | 7.57  | 108  | 1.9627          |
| 1.9667        | 8.55  | 121  | 1.9449          |
| 1.9513        | 9.57  | 135  | 1.9297          |
| 1.9428        | 10.55 | 148  | 1.9160          |
| 1.9284        | 11.57 | 162  | 1.8975          |
| 1.9081        | 12.55 | 175  | 1.8844          |
| 1.8966        | 13.57 | 189  | 1.8704          |
| 1.8716        | 14.55 | 202  | 1.8590          |
| 1.8685        | 15.57 | 216  | 1.8439          |
| 1.8549        | 16.55 | 229  | 1.8304          |
| 1.8454        | 17.57 | 243  | 1.8203          |
| 1.839         | 18.55 | 256  | 1.8097          |
| 1.8293        | 19.57 | 270  | 1.7974          |
| 1.8162        | 20.55 | 283  | 1.7916          |
| 1.8076        | 21.57 | 297  | 1.7809          |
| 1.7915        | 22.55 | 310  | 1.7738          |
| 1.7749        | 23.57 | 324  | 1.7648          |
| 1.7907        | 24.55 | 337  | 1.7553          |
| 1.7633        | 25.57 | 351  | 1.7481          |
| 1.7554        | 26.55 | 364  | 1.7411          |
| 1.7604        | 27.57 | 378  | 1.7348          |
| 1.7497        | 28.55 | 391  | 1.7285          |
| 1.7574        | 29.57 | 405  | 1.7214          |
| 1.729         | 30.55 | 418  | 1.7154          |
| 1.7397        | 31.57 | 432  | 1.7102          |
| 1.7211        | 32.55 | 445  | 1.7026          |
| 1.7275        | 33.57 | 459  | 1.6945          |
| 1.709         | 34.55 | 472  | 1.6913          |
| 1.6983        | 35.57 | 486  | 1.6878          |
| 1.7056        | 36.55 | 499  | 1.6837          |
| 1.6996        | 37.57 | 513  | 1.6772          |
| 1.6929        | 38.55 | 526  | 1.6753          |
| 1.681         | 39.57 | 540  | 1.6701          |
| 1.6974        | 40.55 | 553  | 1.6647          |
| 1.6892        | 41.57 | 567  | 1.6599          |
| 1.6878        | 42.55 | 580  | 1.6538          |
| 1.6745        | 43.57 | 594  | 1.6531          |
| 1.6555        | 44.55 | 607  | 1.6464          |
| 1.6643        | 45.57 | 621  | 1.6449          |
| 1.6441        | 46.55 | 634  | 1.6414          |
| 1.6572        | 47.57 | 648  | 1.6362          |
| 1.6461        | 48.55 | 661  | 1.6343          |
| 1.6605        | 49.57 | 675  | 1.6313          |


### Framework versions

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