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roberta-base-finetuned-wls-whisper-7ep – AI Model by btamm12 | AlphaNeural AI
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btamm12
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roberta-base-finetuned-wls-whisper-7ep
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-wls-whisper-7ep
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0709
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: 7
Training results
Training Loss
Epoch
Step
Validation Loss
1.4675
1.0
26
1.2658
1.2403
2.0
52
1.2070
1.1692
3.0
78
1.1466
1.1186
4.0
104
1.1175
1.0578
5.0
130
1.1277
1.0812
6.0
156
1.0475
1.002
7.0
182
1.1192
Framework versions
Transformers 4.31.0
Pytorch 1.11.0+cu113
Datasets 2.14.4
Tokenizers 0.13.3
