cloth_extracion_destilation_model / training_summary_gpt_SmallEfficientModel_round1.txt
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gpt_SmallEfficientModel_round1
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Model: gpt_SmallEfficientModel
Optimizer: adamw, LR: 2e-05
Best Val Loss: 3.4031, Test Loss: 3.3931
Epoch 1: Train Loss: 5.3849, Val Loss: 4.0624
Epoch 2: Train Loss: 3.8170, Val Loss: 3.6965
Epoch 3: Train Loss: 3.6649, Val Loss: 3.6362
Epoch 4: Train Loss: 3.6286, Val Loss: 3.6178
Epoch 5: Train Loss: 3.6149, Val Loss: 3.6134
Epoch 6: Train Loss: 3.6077, Val Loss: 3.6028
Epoch 7: Train Loss: 3.6005, Val Loss: 3.5969
Epoch 8: Train Loss: 3.5920, Val Loss: 3.5864
Epoch 9: Train Loss: 3.5823, Val Loss: 3.5775
Epoch 10: Train Loss: 3.5706, Val Loss: 3.5647
Epoch 11: Train Loss: 3.5560, Val Loss: 3.5476
Epoch 12: Train Loss: 3.5397, Val Loss: 3.5344
Epoch 13: Train Loss: 3.5237, Val Loss: 3.5192
Epoch 14: Train Loss: 3.5075, Val Loss: 3.5037
Epoch 15: Train Loss: 3.4936, Val Loss: 3.4909
Epoch 16: Train Loss: 3.4802, Val Loss: 3.4773
Epoch 17: Train Loss: 3.4689, Val Loss: 3.4657
Epoch 18: Train Loss: 3.4587, Val Loss: 3.4583
Epoch 19: Train Loss: 3.4497, Val Loss: 3.4535
Epoch 20: Train Loss: 3.4440, Val Loss: 3.4459
Epoch 21: Train Loss: 3.4361, Val Loss: 3.4376
Epoch 22: Train Loss: 3.4308, Val Loss: 3.4336
Epoch 23: Train Loss: 3.4259, Val Loss: 3.4319
Epoch 24: Train Loss: 3.4220, Val Loss: 3.4285
Epoch 25: Train Loss: 3.4180, Val Loss: 3.4233
Epoch 26: Train Loss: 3.4154, Val Loss: 3.4189
Epoch 27: Train Loss: 3.4139, Val Loss: 3.4203
Epoch 28: Train Loss: 3.4102, Val Loss: 3.4189
Epoch 29: Train Loss: 3.4081, Val Loss: 3.4166
Epoch 30: Train Loss: 3.4067, Val Loss: 3.4123
Epoch 31: Train Loss: 3.4055, Val Loss: 3.4117
Epoch 32: Train Loss: 3.4040, Val Loss: 3.4101
Epoch 33: Train Loss: 3.4027, Val Loss: 3.4081
Epoch 34: Train Loss: 3.4014, Val Loss: 3.4103
Epoch 35: Train Loss: 3.4006, Val Loss: 3.4087
Epoch 36: Train Loss: 3.4000, Val Loss: 3.4088
Epoch 37: Train Loss: 3.3995, Val Loss: 3.4087
Epoch 38: Train Loss: 3.3990, Val Loss: 3.4074
Epoch 39: Train Loss: 3.3985, Val Loss: 3.4071
Epoch 40: Train Loss: 3.3981, Val Loss: 3.4089
Epoch 41: Train Loss: 3.3980, Val Loss: 3.4046
Epoch 42: Train Loss: 3.3978, Val Loss: 3.4055
Epoch 43: Train Loss: 3.3973, Val Loss: 3.4067
Epoch 44: Train Loss: 3.3976, Val Loss: 3.4031
Epoch 45: Train Loss: 3.3974, Val Loss: 3.4044
Epoch 46: Train Loss: 3.3968, Val Loss: 3.4044
Epoch 47: Train Loss: 3.3967, Val Loss: 3.4056
Epoch 48: Train Loss: 3.3969, Val Loss: 3.4039
Epoch 49: Train Loss: 3.3966, Val Loss: 3.4050
Epoch 50: Train Loss: 3.3970, Val Loss: 3.4032
Final Test Loss: 3.3931