dummy_fict-full-lstm-42

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 7.8141

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
10.813	0.08	10	10.8032
10.793	0.16	20	10.7786
10.7565	0.24	30	10.7117
10.5835	0.32	40	10.2088
9.8124	0.4	50	9.1973
9.0079	0.48	60	8.6022
8.5534	0.56	70	8.2718
8.3394	0.64	80	8.0790
8.2026	0.72	90	7.9587
8.0804	0.8	100	7.8829
8.0245	0.88	110	7.8368
8.0949	0.96	120	7.8141

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.3