metadata

base_model: vinai/phobert-base-v2
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - recall
  - precision
model-index:
  - name: cls-comment-phobert-base-v2-v2.2.2
    results: []

cls-comment-phobert-base-v2-v2.2.2

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: 0.6359
Accuracy: 0.9235
F1 Score: 0.8747
Recall: 0.8709
Precision: 0.8816

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 4000
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Recall	Precision
1.7287	1.05	100	1.5513	0.5041	0.1117	0.1667	0.0840
1.4006	2.11	200	1.1607	0.6608	0.3075	0.3196	0.4739
1.0635	3.16	300	0.8875	0.8212	0.5457	0.5578	0.5393
0.8514	4.21	400	0.7688	0.8522	0.5716	0.5872	0.5581
0.761	5.26	500	0.7055	0.8746	0.6412	0.6401	0.7368
0.6727	6.32	600	0.6545	0.9023	0.7811	0.7644	0.8581
0.6059	7.37	700	0.6360	0.9109	0.8464	0.8196	0.8859
0.5726	8.42	800	0.6340	0.9119	0.8564	0.8416	0.8743
0.5411	9.47	900	0.6197	0.9159	0.8692	0.8554	0.8868
0.5237	10.53	1000	0.6127	0.9192	0.8718	0.8474	0.9042
0.5055	11.58	1100	0.6201	0.9215	0.8703	0.8603	0.8839
0.5005	12.63	1200	0.6259	0.9231	0.8790	0.8680	0.8944
0.4846	13.68	1300	0.6159	0.9225	0.8726	0.8703	0.8759
0.4798	14.74	1400	0.6205	0.9244	0.8779	0.8636	0.8969
0.4744	15.79	1500	0.6254	0.9248	0.8742	0.8620	0.8909
0.4637	16.84	1600	0.6342	0.9228	0.8717	0.8653	0.8819
0.4584	17.89	1700	0.6359	0.9235	0.8747	0.8709	0.8816

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2