film95000distilbert-base-uncased – AI Model by AmaiaSolaun | AlphaNeural AI

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AmaiaSolaun/
film95000distilbert-base-uncased

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film95000distilbert-base-uncased

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8725

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: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 14840

Training results

Training Loss	Epoch	Step	Validation Loss
2.7724	0.34	500	2.5848
2.5813	0.67	1000	2.4469
2.479	1.01	1500	2.3841
2.3872	1.35	2000	2.3378
2.3504	1.68	2500	2.2838
2.3134	2.02	3000	2.2451
2.2483	2.36	3500	2.1953
2.2166	2.69	4000	2.1854
2.2023	3.03	4500	2.1559
2.1438	3.37	5000	2.1479
2.1271	3.7	5500	2.1155
2.1092	4.04	6000	2.0980
2.0656	4.38	6500	2.0736
2.0544	4.71	7000	2.0567
2.037	5.05	7500	2.0234
1.9902	5.39	8000	2.0079
1.9883	5.72	8500	1.9988
1.9624	6.06	9000	1.9832
1.9348	6.4	9500	1.9643
1.9215	6.73	10000	1.9471
1.9103	7.07	10500	1.9434
1.8794	7.41	11000	1.9282
1.8762	7.74	11500	1.9194
1.8597	8.08	12000	1.9260
1.8402	8.42	12500	1.8795
1.8326	8.75	13000	1.8948
1.8191	9.09	13500	1.9020
1.8058	9.43	14000	1.8806
1.804	9.76	14500	1.8680

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2