psgrghvuo/roberta-base-qic

Source: 🤗text-classificationmit502 MBother✓ 2 checksumsupdated 1,391d ago

Model

This model is a fine-tuned version of roberta-base on an KUAKE-QIC.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 216
num_epochs: 5

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu117
Tokenizers 0.13.2

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Files and sources

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Source revision: a7ca5c817362…
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Weight files: 2
Model size: 502 MB
Downloads · last month: 9
Publisher: Unclaimed

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Weights

Original

F32499 MB
2 files
pytorch_model.bin 499 MBtraining_args.bin 3.5 kB

Weights

Original

F32499 MB
2 files
pytorch_model.bin 499 MBtraining_args.bin 3.5 kB

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