Safetensors
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update 28 tasks lora adapters
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metadata
license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: /data1/model/llama2/meta-llama/Llama2-13b
model-index:
  - name: news_commentary_it_no_sys
    results: []

news_commentary_it_no_sys

This model is a fine-tuned version of /data1/model/llama2/meta-llama/Llama2-13b on the news_commentary_it_no_sys dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6415

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss
0.7236 0.2807 2000 0.6710
0.724 0.5614 4000 0.6521
0.6455 0.8421 6000 0.6415
0.5533 1.1228 8000 0.6548
0.5192 1.4035 10000 0.6501
0.4796 1.6842 12000 0.6500

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.0
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.19.1