This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on the nbroad/company_names dataset. It achieves the following results on the evaluation set:

Loss: 0.0789
Precision: 0.6999
Recall: 0.7154
F1: 0.7076
Accuracy: 0.9702

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: 8e-05
train_batch_size: 48
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1052	1.0	2126	0.0854	0.6824	0.6605	0.6713	0.9678
0.0724	2.0	4252	0.0814	0.6925	0.7042	0.6983	0.9696
0.0778	3.0	6378	0.0789	0.6999	0.7154	0.7076	0.9702

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.14.1

nbroad/xtremedistil-l6-h256-company-names

xtremedistil-l6-h256-company-names

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nbroad/
xtremedistil-l6-h256-company-names