CCChenRyan/LLM_T1

1---2license: apache-2.03base_model: distilbert-base-uncased4tags:5- generated_from_trainer6model-index:7- name: LLM_T18  results: []9---10 11<!-- This model card has been generated automatically according to the information the Trainer had access to. You12should probably proofread and complete it, then remove this comment. -->13 14# LLM_T115 16This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.17It achieves the following results on the evaluation set:18- eval_loss: 0.863719- eval_matthews_correlation: 0.538020- eval_runtime: 0.79221- eval_samples_per_second: 1316.98822- eval_steps_per_second: 83.33823- step: 024 25## Model description26 27More information needed28 29## Intended uses & limitations30 31More information needed32 33## Training and evaluation data34 35More information needed36 37## Training procedure38 39### Training hyperparameters40 41The following hyperparameters were used during training:42- learning_rate: 2e-0543- train_batch_size: 1644- eval_batch_size: 1645- seed: 4246- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0847- lr_scheduler_type: linear48- num_epochs: 549 50### Framework versions51 52- Transformers 4.36.253- Pytorch 2.1.0+cu12154- Datasets 2.16.055- Tokenizers 0.15.056