README.md

metadata

library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - llama-duo/synth_classification_dataset_dedup
model-index:
  - name: mistral-7b-0.3-gpt4o_100k_classification-fft
    results: []

mistral-7b-0.3-gpt4o_100k_classification-fft

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the llama-duo/synth_classification_dataset_dedup dataset. It achieves the following results on the evaluation set:

• Loss: 5.3380

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: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• total_eval_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
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
4.2827	1.0	268	5.3380

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0