metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: edos-2023-baseline-albert-base-v2-label_vector
    results: []

edos-2023-baseline-albert-base-v2-label_vector

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

Loss: 1.8762
F1: 0.1946

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: 1e-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: linear
lr_scheduler_warmup_steps: 5
num_epochs: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
2.1002	1.18	100	1.9982	0.1023
1.7832	2.35	200	1.8435	0.1310
1.57	3.53	300	1.8097	0.1552
1.3719	4.71	400	1.8216	0.1631
1.2072	5.88	500	1.8138	0.1811
1.0186	7.06	600	1.8762	0.1946

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2