metadata

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: []

shortstep_test

This model is a fine-tuned version of 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