HPY_gpt2_v2AIT

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

• Loss: 0.3600

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	370	0.3788
0.4184	2.0	741	0.3658
0.3569	3.0	1112	0.3616
0.3569	3.99	1480	0.3600

Framework versions

• Transformers 4.30.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.13.3