batman555/layer_1_classifier

1---2license: apache-2.03base_model: bert-base-uncased4tags:5- generated_from_trainer6metrics:7- accuracy8model-index:9- name: layer_1_classifier10  results: []11---12 13<!-- This model card has been generated automatically according to the information the Trainer had access to. You14should probably proofread and complete it, then remove this comment. -->15 16# layer_1_classifier17 18This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.19It achieves the following results on the evaluation set:20- Loss: 0.186721- Accuracy: 0.945722 23## Model description24 25More information needed26 27## Intended uses & limitations28 29More information needed30 31## Training and evaluation data32 33More information needed34 35## Training procedure36 37### Training hyperparameters38 39The following hyperparameters were used during training:40- learning_rate: 2e-0541- train_batch_size: 1642- eval_batch_size: 1643- seed: 4244- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0845- lr_scheduler_type: linear46- num_epochs: 447 48### Training results49 50| Training Loss | Epoch | Step | Validation Loss | Accuracy |51|:-------------:|:-----:|:----:|:---------------:|:--------:|52| No log        | 1.0   | 4    | 0.1221          | 1.0      |53| No log        | 2.0   | 8    | 0.0832          | 1.0      |54| No log        | 3.0   | 12   | 0.0647          | 1.0      |55| No log        | 4.0   | 16   | 0.0591          | 1.0      |56 57 58### Framework versions59 60- Transformers 4.33.0.dev061- Pytorch 2.0.1+cu11862- Datasets 2.14.463- Tokenizers 0.13.364