distilbert-base-multilingual-cased-sentiments-student-small-dataset

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6234
• eval_accuracy: {'accuracy': 0.7055630936227951}
• eval_f1score: {'f1': 0.695644141066491}
• eval_runtime: 12.2657
• eval_samples_per_second: 60.086
• eval_steps_per_second: 7.582
• step: 0

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: 0.0002
• 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
• lr_scheduler_warmup_steps: 515
• num_epochs: 7

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1