model_checkpoint – AI Model by bms18 | AlphaNeural AI | AlphaNeural AI

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bms18/
model_checkpoint

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text-classification

generated_from_trainer

facebook/esm2_t30_150M_UR50D

autotrain_compatible

endpoints_compatible

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model_checkpoint

This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8311
Mse: 0.8311

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: 16
eval_batch_size: 16
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	Mse
No log	1.0	146	1.5425	1.5425
No log	2.0	292	1.2182	1.2182
No log	3.0	438	1.2270	1.2270
1.7883	4.0	584	1.0496	1.0496
1.7883	5.0	730	1.0828	1.0828
1.7883	6.0	876	0.9050	0.9050
0.9949	7.0	1022	0.8451	0.8451
0.9949	8.0	1168	0.9760	0.9760
0.9949	9.0	1314	0.8303	0.8303
0.9949	10.0	1460	0.8311	0.8311

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cpu
Datasets 2.18.0
Tokenizers 0.15.2