---
license: llama3
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: saleperson_model
  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. -->

# saleperson_model

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6152

## 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: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2943        | 0.27  | 10   | 1.0754          |
| 0.9998        | 0.53  | 20   | 0.9170          |
| 0.8633        | 0.8   | 30   | 0.8350          |
| 0.7769        | 1.07  | 40   | 0.7880          |
| 0.7549        | 1.33  | 50   | 0.7466          |
| 0.6801        | 1.6   | 60   | 0.7187          |
| 0.6115        | 1.87  | 70   | 0.6902          |
| 0.5801        | 2.13  | 80   | 0.6871          |
| 0.6014        | 2.4   | 90   | 0.6623          |
| 0.5491        | 2.67  | 100  | 0.6473          |
| 0.5215        | 2.93  | 110  | 0.6394          |
| 0.5051        | 3.2   | 120  | 0.6475          |
| 0.4746        | 3.47  | 130  | 0.6259          |
| 0.4593        | 3.73  | 140  | 0.6188          |
| 0.4788        | 4.0   | 150  | 0.6096          |
| 0.4217        | 4.27  | 160  | 0.6232          |
| 0.4297        | 4.53  | 170  | 0.6120          |
| 0.4225        | 4.8   | 180  | 0.6028          |
| 0.3932        | 5.07  | 190  | 0.6156          |
| 0.3799        | 5.33  | 200  | 0.6146          |
| 0.389         | 5.6   | 210  | 0.5977          |
| 0.3759        | 5.87  | 220  | 0.6067          |
| 0.3584        | 6.13  | 230  | 0.6216          |
| 0.3451        | 6.4   | 240  | 0.6044          |
| 0.3517        | 6.67  | 250  | 0.6069          |
| 0.3476        | 6.93  | 260  | 0.6071          |
| 0.3161        | 7.2   | 270  | 0.6183          |
| 0.3164        | 7.47  | 280  | 0.6077          |
| 0.3196        | 7.73  | 290  | 0.6139          |
| 0.3294        | 8.0   | 300  | 0.6065          |
| 0.3197        | 8.27  | 310  | 0.6161          |
| 0.3249        | 8.53  | 320  | 0.6148          |
| 0.2774        | 8.8   | 330  | 0.6174          |
| 0.3011        | 9.07  | 340  | 0.6153          |
| 0.2937        | 9.33  | 350  | 0.6153          |
| 0.3168        | 9.6   | 360  | 0.6152          |
| 0.3103        | 9.87  | 370  | 0.6152          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.15.2