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c-ho/
miltilingual_dbert_linsearch_only_abstract

Name: miltilingual_dbert_linsearch_only_abstract
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miltilingual_dbert_linsearch_only_abstract

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

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro
2.7395	1.0	1233	1.6602	0.5501	0.3447	0.3829	0.3645
1.5662	2.0	2466	1.2526	0.6228	0.5112	0.5447	0.5114
1.2526	3.0	3699	1.1599	0.6396	0.5478	0.5537	0.5551
1.1111	4.0	4932	1.1279	0.6469	0.5645	0.5619	0.5745
0.9426	5.0	6165	1.1201	0.6505	0.5674	0.5715	0.5690
0.8696	6.0	7398	1.1415	0.6462	0.5620	0.5645	0.5647
0.8271	7.0	8631	1.1486	0.6467	0.5657	0.5670	0.5667
0.7772	8.0	9864	1.1642	0.6477	0.5670	0.5644	0.5723
0.7247	9.0	11097	1.1731	0.6456	0.5644	0.5633	0.5676
0.7072	9.9922	12320	1.1731	0.6463	0.5658	0.5657	0.5677