metadata

library_name: transformers
base_model: bert-base-chinese
tags:
  - generated_from_keras_callback
model-index:
  - name: sky1223/chinese-sentiment-model
    results: []

sky1223/chinese-sentiment-model

This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.8760
Train Accuracy: 0.2000
Epoch: 0

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:

optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Accuracy	Epoch
0.8760	0.2000	0

Framework versions

Transformers 4.44.2
TensorFlow 2.17.0
Datasets 3.1.0
Tokenizers 0.19.1