| license: other | |
| base_model: /root/autodl-tmp/ner_project/model/Qwen1.5-4B | |
| tags: | |
| - llama-factory | |
| - full | |
| - generated_from_trainer | |
| model-index: | |
| - name: 4b_galore | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 4b_galore | |
| This model is a fine-tuned version of [/root/autodl-tmp/ner_project/model/Qwen1.5-4B](https://huggingface.co.//root/autodl-tmp/ner_project/model/Qwen1.5-4B) on the universal_ner_all 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: 1e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 200 | |
| - num_epochs: 1.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.39.2 | |
| - Pytorch 2.2.2+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |