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-lr3e_6
  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-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: 1.1309

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0761        | 0.55  | 13   | 2.0454          |
| 2.0457        | 1.57  | 27   | 2.0037          |
| 1.9868        | 2.55  | 40   | 1.9578          |
| 1.9477        | 3.57  | 54   | 1.9089          |
| 1.893         | 4.55  | 67   | 1.8629          |
| 1.8529        | 5.57  | 81   | 1.8235          |
| 1.8242        | 6.55  | 94   | 1.7907          |
| 1.7901        | 7.57  | 108  | 1.7589          |
| 1.757         | 8.55  | 121  | 1.7352          |
| 1.7344        | 9.57  | 135  | 1.7108          |
| 1.7193        | 10.55 | 148  | 1.6879          |
| 1.6953        | 11.57 | 162  | 1.6634          |
| 1.6687        | 12.55 | 175  | 1.6432          |
| 1.6512        | 13.57 | 189  | 1.6192          |
| 1.6177        | 14.55 | 202  | 1.5982          |
| 1.6033        | 15.57 | 216  | 1.5741          |
| 1.5791        | 16.55 | 229  | 1.5489          |
| 1.5583        | 17.57 | 243  | 1.5230          |
| 1.5296        | 18.55 | 256  | 1.4971          |
| 1.4996        | 19.57 | 270  | 1.4642          |
| 1.4715        | 20.55 | 283  | 1.4362          |
| 1.4352        | 21.57 | 297  | 1.3987          |
| 1.387         | 22.55 | 310  | 1.3683          |
| 1.3554        | 23.57 | 324  | 1.3398          |
| 1.3537        | 24.55 | 337  | 1.3165          |
| 1.3102        | 25.57 | 351  | 1.2972          |
| 1.2974        | 26.55 | 364  | 1.2778          |
| 1.2876        | 27.57 | 378  | 1.2619          |
| 1.2645        | 28.55 | 391  | 1.2473          |
| 1.2686        | 29.57 | 405  | 1.2336          |
| 1.2332        | 30.55 | 418  | 1.2226          |
| 1.24          | 31.57 | 432  | 1.2142          |
| 1.2144        | 32.55 | 445  | 1.2031          |
| 1.2239        | 33.57 | 459  | 1.1926          |
| 1.1971        | 34.55 | 472  | 1.1878          |
| 1.1878        | 35.57 | 486  | 1.1820          |
| 1.1937        | 36.55 | 499  | 1.1767          |
| 1.19          | 37.57 | 513  | 1.1704          |
| 1.1774        | 38.55 | 526  | 1.1671          |
| 1.17          | 39.57 | 540  | 1.1629          |
| 1.1843        | 40.55 | 553  | 1.1574          |
| 1.1725        | 41.57 | 567  | 1.1525          |
| 1.1737        | 42.55 | 580  | 1.1473          |
| 1.1592        | 43.57 | 594  | 1.1473          |
| 1.1462        | 44.55 | 607  | 1.1418          |
| 1.1536        | 45.57 | 621  | 1.1411          |
| 1.1294        | 46.55 | 634  | 1.1377          |
| 1.1448        | 47.57 | 648  | 1.1343          |
| 1.1363        | 48.55 | 661  | 1.1331          |
| 1.1527        | 49.57 | 675  | 1.1308          |


### Framework versions

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