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: mistral-ehrs-finetune
  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. -->

# mistral-ehrs-finetune

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: 1.3504

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5945        | 0.34  | 25   | 1.3418          |
| 1.3094        | 0.68  | 50   | 1.2070          |
| 1.1752        | 1.01  | 75   | 1.1013          |
| 0.8458        | 1.35  | 100  | 1.0712          |
| 0.8304        | 1.69  | 125  | 1.0180          |
| 0.8065        | 2.03  | 150  | 0.9862          |
| 0.5175        | 2.36  | 175  | 1.0248          |
| 0.5338        | 2.7   | 200  | 0.9893          |
| 0.5067        | 3.04  | 225  | 0.9652          |
| 0.3168        | 3.38  | 250  | 1.0276          |
| 0.3013        | 3.72  | 275  | 1.0303          |
| 0.2889        | 4.05  | 300  | 1.0394          |
| 0.1795        | 4.39  | 325  | 1.0897          |
| 0.1839        | 4.73  | 350  | 1.1295          |
| 0.1379        | 5.07  | 375  | 1.1637          |
| 0.1056        | 5.41  | 400  | 1.2005          |
| 0.1047        | 5.74  | 425  | 1.2335          |
| 0.0842        | 6.08  | 450  | 1.2364          |
| 0.0603        | 6.42  | 475  | 1.3483          |
| 0.0576        | 6.76  | 500  | 1.3504          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
