hier-bert-i3-mlm2

This model is a fine-tuned version of HierBert on an English version of OpenSubtitles dataset. It achieves the following results on the evaluation set:

• Loss: 2.2929
• Accuracy: 0.5612

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: 0.001
• train_batch_size: 16
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.5
• training_steps: 50000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.9488	1.55	25000	2.7667	0.4935
2.4233	3.1	50000	2.2922	0.5612

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3