---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: Project5_V3_Mistral8x7b_V2.2.5
  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. -->

# Project5_V3_Mistral8x7b_V2.2.5

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2430

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.63  | 1    | 2.3024          |
| No log        | 1.88  | 3    | 2.2997          |
| No log        | 2.51  | 4    | 2.2977          |
| 2.2951        | 3.76  | 6    | 2.2935          |
| 2.2951        | 4.39  | 7    | 2.2905          |
| 2.2951        | 5.65  | 9    | 2.2853          |
| 2.2845        | 6.9   | 11   | 2.2789          |
| 2.2845        | 7.53  | 12   | 2.2757          |
| 2.2845        | 8.78  | 14   | 2.2696          |
| 2.2729        | 9.41  | 15   | 2.2667          |
| 2.2729        | 10.67 | 17   | 2.2619          |
| 2.2729        | 11.92 | 19   | 2.2576          |
| 2.2599        | 12.55 | 20   | 2.2555          |
| 2.2599        | 13.8  | 22   | 2.2519          |
| 2.2599        | 14.43 | 23   | 2.2504          |
| 2.2523        | 15.69 | 25   | 2.2479          |
| 2.2523        | 16.94 | 27   | 2.2462          |
| 2.2523        | 17.57 | 28   | 2.2454          |
| 2.2471        | 18.82 | 30   | 2.2442          |
| 2.2471        | 19.45 | 31   | 2.2437          |
| 2.2471        | 20.71 | 33   | 2.2432          |
| 2.2444        | 21.96 | 35   | 2.2427          |
| 2.2444        | 22.59 | 36   | 2.2428          |
| 2.2444        | 23.84 | 38   | 2.2429          |
| 2.2444        | 24.47 | 39   | 2.2429          |
| 2.2427        | 25.1  | 40   | 2.2430          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2