FR_bkt_dbddv01-gpt2-french-small

This model is a fine-tuned version of dbddv01/gpt2-french-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.7332

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: 1e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
4.2472	1.46	2000	4.0537
3.9497	2.91	4000	3.8496
3.8252	4.37	6000	3.7681
3.7653	5.82	8000	3.7332

Framework versions

• Transformers 4.35.2
• Pytorch 2.4.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0