esm2_t6_8M_UR50D-finetuned-Xmas-project

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 56.7855
• Validation Loss: 101.4410
• Epoch: 9

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
494.7048	197.2008	0
149.9308	127.9843	1
110.7755	105.5121	2
94.8339	100.2063	3
83.1885	101.8379	4
75.9772	108.3454	5
69.3844	110.1212	6
64.3868	97.5026	7
60.4573	100.1366	8
56.7855	101.4410	9

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.2
• Datasets 2.8.0
• Tokenizers 0.13.2