roberta-base-finetuned-wls-whisper-9ep – AI Model by btamm12 | AlphaNeural AI

You can deploy this model and start earning money today!

btamm12/
roberta-base-finetuned-wls-whisper-9ep

like

0

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

roberta-base-finetuned-wls-whisper-9ep

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0644

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss
1.4644	1.0	26	1.2700
1.2544	2.0	52	1.2160
1.1825	3.0	78	1.1495
1.1307	4.0	104	1.1236
1.0694	5.0	130	1.1414
1.0844	6.0	156	1.0495
1.003	7.0	182	1.1201
1.0117	8.0	208	1.0310
0.9861	9.0	234	1.0368

Framework versions

Transformers 4.31.0
Pytorch 1.11.0+cu113
Datasets 2.14.4
Tokenizers 0.13.3