phobert-human-tl-seg-seed-6969

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

Model description

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The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 50

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	346	0.5129	0.8245	0.5325	0.3537	0.3399
0.5757	2.0	692	0.4692	0.8383	0.6238	0.4332	0.4500
0.4598	3.0	1038	0.4671	0.8357	0.6235	0.4116	0.4280
0.4598	4.0	1384	0.4641	0.8394	0.6756	0.4279	0.4498
0.4567	5.0	1730	0.4582	0.8379	0.6325	0.4272	0.4478
0.4499	6.0	2076	0.4588	0.8406	0.6718	0.4424	0.4617
0.4499	7.0	2422	0.4633	0.8372	0.6655	0.4118	0.4320
0.4517	8.0	2768	0.4522	0.8417	0.6340	0.4522	0.4741
0.4477	9.0	3114	0.4539	0.8402	0.6644	0.4267	0.4503
0.4477	10.0	3460	0.4560	0.8439	0.6645	0.4647	0.4813
0.4508	11.0	3806	0.4534	0.8387	0.6499	0.4235	0.4488
0.444	12.0	4152	0.4483	0.8432	0.6507	0.4682	0.4928
0.444	13.0	4498	0.4501	0.8391	0.6491	0.4355	0.4633
0.4506	14.0	4844	0.4532	0.8394	0.6442	0.4253	0.4490
0.4422	15.0	5190	0.4528	0.8394	0.6497	0.4245	0.4494
0.4498	16.0	5536	0.4663	0.8376	0.6743	0.4123	0.4332
0.4498	17.0	5882	0.4476	0.8417	0.6345	0.4435	0.4672