metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
base_model: bert-base-multilingual-cased
model-index:
  - name: nlp-classification-comic-name-weighdecay-0.001-lr-1e-3
    results: []

nlp-classification-comic-name-weighdecay-0.001-lr-1e-3

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0339
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9925

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: 0.00025
train_batch_size: 30
eval_batch_size: 30
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	27	0.0356	0.9913
No log	2.0	54	0.0366	0.9921
No log	3.0	81	0.0345	0.9921
No log	4.0	108	0.0346	0.9921
No log	5.0	135	0.0341	0.9921
No log	6.0	162	0.0337	0.9921
No log	7.0	189	0.0345	0.9929
No log	8.0	216	0.0338	0.9925
No log	9.0	243	0.0338	0.9925
No log	10.0	270	0.0339	0.9925

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0