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