flaubert_base_fine_tunned_themas_balanced_weight

This model is a fine-tuned version of flaubert/flaubert_base_cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.6404

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	116	2.6965
No log	2.0	232	2.6564
No log	3.0	348	2.6404

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3