hf-internal-testing/reactiongif-roberta-card

model

This card is a copy of this repo for the purpose of testing the repo card utilities in huggingface_hub.

It achieves the following results on the evaluation set:

• Loss: 2.9150
• Accuracy: 0.2662

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.0528	0.44	1000	3.0265	0.2223
2.9836	0.89	2000	2.9263	0.2332
2.7409	1.33	3000	2.9041	0.2533
2.7905	1.77	4000	2.8763	0.2606
2.4359	2.22	5000	2.9072	0.2642
2.4507	2.66	6000	2.9230	0.2644

Framework versions

• Transformers 4.7.0.dev0
• Pytorch 1.8.1+cu102
• Datasets 1.8.0
• Tokenizers 0.10.3