aeaee/SENTIENCE_Classification_Score_pytorch

1---2license: apache-2.03base_model: distilbert-base-uncased4tags:5- generated_from_trainer6model-index:7- name: SENTIENCE_Classification_Score_pytorch8  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# SENTIENCE_Classification_Score_pytorch15 16This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.17 18## Model description19 20More information needed21 22## Intended uses & limitations23 24More information needed25 26## Training and evaluation data27 28More information needed29 30## Training procedure31 32### Training hyperparameters33 34The following hyperparameters were used during training:35- learning_rate: 0.00236- train_batch_size: 1637- eval_batch_size: 1638- seed: 4239- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0840- lr_scheduler_type: linear41- num_epochs: 142 43### Training results44 45| Training Loss | Epoch | Step | Validation Loss | Accuracy |46|:-------------:|:-----:|:----:|:---------------:|:--------:|47| No log        | 1.0   | 25   | 1.6458          | 0.14     |48 49 50### Framework versions51 52- Transformers 4.37.253- Pytorch 2.2.0+cu12154- Datasets 2.17.055- Tokenizers 0.15.156