---
library_name: peft
license: apache-2.0
base_model: Intel/neural-chat-7b-v3-1
tags:
- generated_from_trainer
model-index:
- name: Intel-neural-chat-7B-v3-1-009
  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. -->

# Intel-neural-chat-7B-v3-1-009

This model is a fine-tuned version of [Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1827

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4746        | 0.9927 | 102  | 0.4962          |
| 0.3475        | 1.9927 | 204  | 0.3832          |
| 0.3142        | 2.9927 | 306  | 0.3110          |
| 0.2628        | 3.9927 | 408  | 0.2641          |
| 0.2059        | 4.9927 | 510  | 0.2351          |
| 0.1746        | 5.9927 | 612  | 0.2149          |
| 0.1686        | 6.9927 | 714  | 0.2002          |
| 0.1514        | 7.9927 | 816  | 0.1911          |
| 0.1371        | 8.9927 | 918  | 0.1846          |
| 0.1255        | 9.9927 | 1020 | 0.1827          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.1