paola-md/RELEXset-Predictor

recipe-lr5e05-wd0.02-bs32

This model is a fine-tuned version of paola-md/recipe-distilroberta-Is on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2738
• Rmse: 0.5232
• Mse: 0.2738
• Mae: 0.4117

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse	Mse	Mae
0.2788	1.0	1245	0.2766	0.5259	0.2766	0.4212
0.2757	2.0	2490	0.2777	0.5270	0.2777	0.4271
0.2741	3.0	3735	0.2745	0.5239	0.2745	0.4202
0.2725	4.0	4980	0.2760	0.5254	0.2760	0.4030
0.2711	5.0	6225	0.2752	0.5246	0.2752	0.4186
0.2692	6.0	7470	0.2738	0.5232	0.2738	0.4117

Test results

Using the model saved for 4 epochs, we achived the following results on the test set:

{
    "test_mae": 0.39440343575349946,
    "test_runtime": 22.6921,
    "test_samples_per_second": 866.867,
    "test_steps_per_second": 6.787
}

Framework versions

• Transformers 4.19.0.dev0
• Pytorch 1.9.0+cu111
• Datasets 2.4.0
• Tokenizers 0.12.1