peft safetensors mistral alignment-handbook trl sft unsloth generated_from_trainer dataset:zeta-labs/mind2web_combined_236_18_01 base_model:unsloth/mistral-7b license:apache-2.0 4-bit bitsandbytes region:us
---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- unsloth
- generated_from_trainer
- trl
- sft
- unsloth
- generated_from_trainer
- unsloth
datasets:
- zeta-labs/mind2web_combined_236_18_01
base_model: unsloth/mistral-7b
model-index:
- name: shortstep_test
  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. -->

# shortstep_test

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the zeta-labs/mind2web_combined_236_18_01 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3442

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5

### Training results



### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1