peft tensorboard safetensors generated_from_trainer medical text2text-generation en dataset:medalpaca/medical_meadow_medqa dataset:medalpaca/medical_meadow_medical_flashcards dataset:medalpaca/medical_meadow_pubmed_causal dataset:medalpaca/medical_meadow_wikidoc base_model:mistralai/Mixtral-8x7B-v0.1 base_model:adapter:mistralai/Mixtral-8x7B-v0.1 license:apache-2.0 region:us
---
base_model: mistralai/Mixtral-8x7B-v0.1
datasets:
- medalpaca/medical_meadow_medqa
- medalpaca/medical_meadow_medical_flashcards
- medalpaca/medical_meadow_pubmed_causal
- medalpaca/medical_meadow_wikidoc
language:
- en
library_name: peft
license: apache-2.0
pipeline_tag: text2text-generation
tags:
- generated_from_trainer
- medical
model-index:
- name: Thealth_Mixtral-8x7B
  results: []
---
![Group of Scientists Discussing](https://github.com/mostafadentist/huggingface/blob/main/cartoon_image_for_a_group_of_scientists_and_experts_on_a_round_table_discussing_complex_scientific_concepts.png?raw=true)
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# results_Thealth_Mixtral-8x7B

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on medical dataset .
It achieves the following results on the evaluation set:
- Loss: 1.2772

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5369        | 0.01  | 50   | 1.4087          |
| 1.3005        | 0.03  | 100  | 1.2964          |
| 1.2934        | 0.04  | 150  | 1.2727          |
| 1.2727        | 0.05  | 200  | 1.2744          |
| 1.2563        | 0.06  | 250  | 1.2763          |
| 1.2816        | 0.08  | 300  | 1.2772          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0