reader-lm-1.5b / README.md
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metadata
license: apache-2.0
base_model: jinaai/qwen2-1.5b-reader
tags:
  - sft
  - reader-lm
  - transformers
  - generated_from_trainer
model-index:
  - name: qwen2-1.5b-final-v1
    results: []

qwen2-1.5b-final-v1

This model is a fine-tuned version of jinaai/qwen2-1.5b-reader on an unknown dataset.

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: 3e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 25000

Training results

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.1.0+cu121-with-pypi-cudnn
  • Datasets 2.21.0
  • Tokenizers 0.19.0