---
license: apache-2.0
base_model: bn22/Mistral-7B-Instruct-v0.1-sharded
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [bn22/Mistral-7B-Instruct-v0.1-sharded](https://huggingface.co/bn22/Mistral-7B-Instruct-v0.1-sharded) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9447

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 600

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4418        | 0.07  | 100  | 2.2922          |
| 2.1884        | 0.15  | 200  | 2.1105          |
| 2.0871        | 0.22  | 300  | 2.0371          |
| 2.011         | 0.29  | 400  | 1.9835          |
| 1.9346        | 0.37  | 500  | 1.9517          |
| 1.9721        | 0.44  | 600  | 1.9447          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.15.0