ReMA-PS-7B-SFT / README.md
OhCherryFire's picture
change config
9655799
metadata
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-7B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: ps_7b_full
    results: []

ps_7b_full

This model is a fine-tuned version of Qwen/Qwen2.5-7B on the mta_multi_turn_mamrp and the ra_multi_turn_mamrp datasets.

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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 8
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.4.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3