bert_tiny_lda_50_v1_book

This model is a fine-tuned version of on the gokulsrinivasagan/processed_book_corpus-ld-50 dataset. It achieves the following results on the evaluation set:

• Loss: 4.4767
• Accuracy: 0.6768

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: 0.0001
• train_batch_size: 160
• eval_batch_size: 160
• seed: 10
• 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: 10000
• num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
9.5487	0.7025	10000	9.3862	0.1643
6.4629	1.4051	20000	5.9991	0.4932
5.845	2.1076	30000	5.4385	0.5587
5.564	2.8102	40000	5.1861	0.5911
5.4009	3.5127	50000	5.0364	0.6107
5.2879	4.2153	60000	4.9377	0.6221
5.2055	4.9178	70000	4.8482	0.6306
5.1368	5.6203	80000	4.7866	0.6365
5.0913	6.3229	90000	4.7452	0.6414
5.0527	7.0254	100000	4.7075	0.6454
5.0258	7.7280	110000	4.6830	0.6489
4.9991	8.4305	120000	4.6571	0.6519
4.9708	9.1331	130000	4.6426	0.6542
4.9566	9.8356	140000	4.6210	0.6573
4.9396	10.5381	150000	4.6070	0.6589
4.929	11.2407	160000	4.5963	0.6604
4.9134	11.9432	170000	4.5835	0.6622
4.901	12.6458	180000	4.5683	0.6639
4.8884	13.3483	190000	4.5644	0.6646
4.8823	14.0509	200000	4.5529	0.6661
4.8706	14.7534	210000	4.5440	0.6672
4.8607	15.4560	220000	4.5351	0.6688
4.8551	16.1585	230000	4.5289	0.6691
4.8461	16.8610	240000	4.5238	0.6702
4.8365	17.5636	250000	4.5181	0.6708
4.831	18.2661	260000	4.5125	0.6716
4.8298	18.9687	270000	4.5080	0.6724
4.82	19.6712	280000	4.5026	0.6732
4.8168	20.3738	290000	4.4968	0.6738
4.8087	21.0763	300000	4.4940	0.6745
4.8065	21.7788	310000	4.4873	0.6753
4.7999	22.4814	320000	4.4847	0.6755
4.798	23.1839	330000	4.4818	0.6759
4.7951	23.8865	340000	4.4781	0.6764
4.7946	24.5890	350000	4.4755	0.6768

Framework versions

• Transformers 4.46.1
• Pytorch 2.2.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1