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metadata
base_model: hfl/chinese-roberta-wwm-ext
library_name: transformers
license: apache-2.0
metrics:
  - accuracy
tags:
  - generated_from_trainer
model-index:
  - name: chinese-roberta-climate-transition-physical-risk-prediction-v1
    results: []

chinese-roberta-climate-transition-physical-risk-prediction-v1

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0003
  • Accuracy: 1.0

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:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 57 0.0072 1.0
No log 2.0 114 0.0010 1.0
No log 3.0 171 0.0006 1.0
No log 4.0 228 0.0005 1.0
No log 5.0 285 0.0004 1.0
No log 6.0 342 0.0003 1.0
No log 7.0 399 0.0003 1.0
No log 8.0 456 0.0003 1.0
0.0243 9.0 513 0.0003 1.0
0.0243 10.0 570 0.0003 1.0

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1