README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: tiny-mlm-conll2003-from-scratch-target-conll2003
    results: []

tiny-mlm-conll2003-from-scratch-target-conll2003

This model is a fine-tuned version of muhtasham/tiny-mlm-conll2003-from-scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3255
• Precision: 0.4607
• Recall: 0.6060
• F1: 0.5234
• Accuracy: 0.9053

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.0233	1.14	500	0.6786	0.1712	0.1419	0.1552	0.8249
0.5801	2.28	1000	0.5489	0.2545	0.2928	0.2723	0.8497
0.4936	3.42	1500	0.4847	0.3008	0.3612	0.3282	0.8619
0.4297	4.56	2000	0.4325	0.3697	0.4478	0.4050	0.8785
0.3753	5.69	2500	0.3901	0.3922	0.5126	0.4444	0.8892
0.3337	6.83	3000	0.3638	0.4135	0.5401	0.4684	0.8958
0.2989	7.97	3500	0.3460	0.4300	0.5786	0.4934	0.8993
0.2716	9.11	4000	0.3359	0.4375	0.5890	0.5021	0.9022
0.2493	10.25	4500	0.3320	0.4489	0.5867	0.5086	0.9035
0.2374	11.39	5000	0.3255	0.4607	0.6060	0.5234	0.9053

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.8.1.dev0
• Tokenizers 0.13.2