---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/zephyr-7B-beta-GPTQ
model-index:
- name: movies_gptq_recommend_v0
  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. -->

# movies_gptq_recommend_v0

This model is a fine-tuned version of [TheBloke/zephyr-7B-beta-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-beta-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2649

## 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: 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: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4003        | 0.0   | 100  | 0.3292          |
| 0.3077        | 0.01  | 200  | 0.3024          |
| 0.2775        | 0.01  | 300  | 0.2978          |
| 0.2873        | 0.01  | 400  | 0.2866          |
| 0.2782        | 0.02  | 500  | 0.2805          |
| 0.2859        | 0.02  | 600  | 0.2740          |
| 0.2573        | 0.02  | 700  | 0.2709          |
| 0.2753        | 0.03  | 800  | 0.2679          |
| 0.265         | 0.03  | 900  | 0.2660          |
| 0.263         | 0.03  | 1000 | 0.2649          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.0.dev0
- Pytorch 2.1.0.dev20230621+cu117
- Datasets 2.17.0
- Tokenizers 0.15.0