---
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-sft-full
  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. -->

# zephyr-7b-sft-full

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9296

## 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-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.977         | 0.0923 | 100  | 0.9750          |
| 0.962         | 0.1846 | 200  | 0.9703          |
| 0.9629        | 0.2769 | 300  | 0.9640          |
| 0.9442        | 0.3692 | 400  | 0.9575          |
| 0.9595        | 0.4615 | 500  | 0.9511          |
| 0.9288        | 0.5538 | 600  | 0.9445          |
| 0.9131        | 0.6461 | 700  | 0.9387          |
| 0.9053        | 0.7383 | 800  | 0.9341          |
| 0.9221        | 0.8306 | 900  | 0.9310          |
| 0.9109        | 0.9229 | 1000 | 0.9296          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+rocm6.2
- Datasets 3.5.0
- Tokenizers 0.20.3