film20000distilbert-base-uncased – AI Model by AmaiaSolaun | AlphaNeural AI

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AmaiaSolaun/
film20000distilbert-base-uncased

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film20000distilbert-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: 2.1515

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: 6240

Training results

Training Loss	Epoch	Step	Validation Loss
2.7616	1.6	500	2.5693
2.527	3.19	1000	2.4370
2.3591	4.79	1500	2.3738
2.2511	6.39	2000	2.3388
2.1606	7.99	2500	2.2899
2.0761	9.58	3000	2.2732
2.013	11.18	3500	2.2362
1.9468	12.78	4000	2.2172
1.8953	14.38	4500	2.1972
1.8467	15.97	5000	2.1812
1.806	17.57	5500	2.1746
1.7826	19.17	6000	2.1537

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2