finetuned__beto-clinical-wl-es__augmented-ultrasounds – AI Model by manucos | AlphaNeural AI

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manucos/
finetunedbeto-clinical-wl-esaugmented-ultrasounds

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plncmm/beto-clinical-wl-es

autotrain_compatible

endpoints_compatible

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finetunedbeto-clinical-wl-esaugmented-ultrasounds

This model is a fine-tuned version of plncmm/beto-clinical-wl-es on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5568

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: 2e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	219	0.9163
1.1213	2.0	438	0.7814
1.1213	3.0	657	0.7215
0.7651	4.0	876	0.6875
0.7651	5.0	1095	0.6477
0.6904	6.0	1314	0.6291
0.6904	7.0	1533	0.6319
0.6449	8.0	1752	0.6108
0.6449	9.0	1971	0.5970
0.6212	10.0	2190	0.5840
0.6212	11.0	2409	0.5727
0.6036	12.0	2628	0.5873
0.6036	13.0	2847	0.5697
0.5864	14.0	3066	0.5572
0.5864	15.0	3285	0.5631
0.5786	16.0	3504	0.5559
0.5786	17.0	3723	0.5769
0.5709	18.0	3942	0.5472
0.5709	19.0	4161	0.5518
0.5708	20.0	4380	0.5568

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1