batch_size_8_50_epochs_V2

This model is a fine-tuned version of monideep2255/batch_size_8_50_epochs on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5169

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: 0.0003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
12.833	6.67	200	2.7768
1.0321	13.33	400	2.3414
0.4986	20.0	600	2.2381
0.295	26.67	800	2.3233
0.2093	33.33	1000	2.3775
0.1648	40.0	1200	2.4258
0.1254	46.67	1400	2.5169

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.2