---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: mistral-ehrs-transcription-summary
  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-transcription-summary

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: 0.7805

## 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: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2536        | 0.17  | 25   | 1.0469          |
| 0.9063        | 0.34  | 50   | 0.8918          |
| 0.7291        | 0.51  | 75   | 0.8037          |
| 0.6537        | 0.68  | 100  | 0.7250          |
| 0.5135        | 0.85  | 125  | 0.7143          |
| 0.5284        | 1.02  | 150  | 0.7091          |
| 0.3765        | 1.19  | 175  | 0.7062          |
| 0.3222        | 1.36  | 200  | 0.7200          |
| 0.3379        | 1.53  | 225  | 0.6987          |
| 0.2712        | 1.7   | 250  | 0.7020          |
| 0.2683        | 1.87  | 275  | 0.7031          |
| 0.2785        | 2.04  | 300  | 0.7405          |
| 0.1721        | 2.21  | 325  | 0.7276          |
| 0.1822        | 2.38  | 350  | 0.7372          |
| 0.2321        | 2.55  | 375  | 0.7441          |
| 0.1753        | 2.72  | 400  | 0.7400          |
| 0.1678        | 2.89  | 425  | 0.7524          |
| 0.1708        | 3.06  | 450  | 0.7665          |
| 0.0973        | 3.23  | 475  | 0.7824          |
| 0.1266        | 3.4   | 500  | 0.7805          |


### Framework versions

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