roberta-tiny-4l-10M

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 7.3432
• Accuracy: 0.0513

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: 0.0007
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 128
• total_train_batch_size: 2048
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• num_epochs: 100.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
7.4785	4.16	50	7.3834	0.0514
7.425	8.33	100	7.3559	0.0514
7.4187	12.49	150	7.3517	0.0512
7.4204	16.66	200	7.3440	0.0514
7.4099	20.82	250	7.3454	0.0515
7.2916	24.99	300	7.3442	0.0515
7.4117	29.16	350	7.3440	0.0513

Framework versions

• Transformers 4.24.0
• Pytorch 1.11.0+cu113
• Datasets 2.6.1
• Tokenizers 0.12.1