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contemmcm/
3830bd109d48e04d03be889c0946abf7

generated_from_trainer

albert/albert-xxlarge-v1

finetune

apache-2.0

endpoints_compatible

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3830bd109d48e04d03be889c0946abf7

This model is a fine-tuned version of albert/albert-xxlarge-v1 on the contemmcm/trec dataset. It achieves the following results on the evaluation set:

Loss: 0.2092
Data Size: 1.0
Epoch Runtime: 10.4821
Accuracy: 0.9688
F1 Macro: 0.9552

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	2.2324	0	0.8350	0.1646	0.0476
No log	1	170	2.2546	0.0078	1.0334	0.2771	0.0723
No log	2	340	1.9432	0.0156	1.1140	0.2771	0.0723
No log	3	510	1.5890	0.0312	1.4418	0.2417	0.1273
No log	4	680	1.2010	0.0625	1.8216	0.5708	0.4903
0.0865	5	850	0.8811	0.125	2.3715	0.7208	0.6229
0.0865	6	1020	0.2623	0.25	3.5571	0.9354	0.7841
0.3188	7	1190	0.2526	0.5	5.9086	0.9479	0.8551
0.1945	8.0	1360	0.1477	1.0	10.7739	0.9667	0.9517
0.1706	9.0	1530	0.1666	1.0	10.5856	0.9646	0.9466
0.1284	10.0	1700	0.1398	1.0	10.5293	0.9729	0.9674
0.0773	11.0	1870	0.1698	1.0	10.6137	0.9646	0.9596
0.0375	12.0	2040	0.2128	1.0	10.5202	0.9646	0.9483
0.0357	13.0	2210	0.2166	1.0	10.5073	0.975	0.9694
0.0336	14.0	2380	0.2092	1.0	10.4821	0.9688	0.9552

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.1

contemmcm/3830bd109d48e04d03be889c0946abf7

3830bd109d48e04d03be889c0946abf7

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
3830bd109d48e04d03be889c0946abf7