RoBERTa-es-mental-large_v2

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RoBERTa-es-mental-large_v2

This model is a fine-tuned version of ELiRF/RoBERTa-es-mental-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2025
• Model Preparation Time: 0.0049

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: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• total_eval_batch_size: 4
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.06
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.57.6
• Pytorch 2.6.0+cu118
• Datasets 4.8.5
• Tokenizers 0.22.2