MiniLMv2-L6-H384-mlm-multi-emails-hq

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MiniLMv2-L6-H384-distilled-from-RoBERTa-Large-finetuned-wikitext103-mlm-multi-emails-hq-x2bs

This model is a fine-tuned version of saghar/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large-finetuned-wikitext103 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0371
• Accuracy: 0.6450

Model description

• masked language model
• mini version of RoBERTa
• does support uppercase text

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: 0.0002
• train_batch_size: 16
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 16.0

Training results

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 2.0.0.dev20230212+cu118
• Datasets 2.9.0
• Tokenizers 0.13.2