CoolFace
Modelpublic

gechim/metadata-cls-no-gov-8k-v3

sourceHugging Faceupdated 2y agoView on Hugging Face
0likes4downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>

metadata-cls-no-gov-8k-v3

This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3064
  • —Accuracy: 0.9515
  • —F1: 0.8155

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
  • —trainbatchsize: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 20

Training results

Training LossEpochStepValidation LossAccuracyF1
0.55651.63932000.19420.94720.7911
0.16193.27874000.19350.94040.7817
0.12754.91806000.19030.94300.8019
0.07686.55748000.21920.94890.8016
0.05798.196710000.23500.94550.7866
0.04779.836112000.25720.94980.7952
0.035811.475414000.28230.94130.7938
0.027713.114816000.27040.94640.8096
0.023314.754118000.28680.94810.7951
0.013916.393420000.30260.94380.7965
0.012518.032822000.30340.94890.8035
0.008519.672124000.30640.95150.8155

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.1.2
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1