---
base_model: sanchit-gandhi/Mistral-7B-v0.1-6-layer
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- alignment-handbook
- generated_from_trainer
datasets:
- stingning/ultrachat
model-index:
- name: sanchit-gandhi/Mistral-7B-v0.1-6-layer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sanchit-gandhi/Mistral-7B-v0.1-6-layer

This model is a fine-tuned version of [sanchit-gandhi/Mistral-7B-v0.1-6-layer](https://huggingface.co/sanchit-gandhi/Mistral-7B-v0.1-6-layer) on the stingning/ultrachat dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0042

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 256
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.135         | 1.2361 | 5000  | 1.0484          |
| 0.9717        | 2.4722 | 10000 | 1.0058          |
| 0.8643        | 3.7083 | 15000 | 0.9966          |
| 0.8191        | 4.9444 | 20000 | 1.0042          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1