OuOSamaCute/my_model_v2

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

• Train Loss: 0.3712
• Validation Loss: 1.5791
• Epoch: 49

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': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.2035	1.1569	0
1.1256	1.1531	1
1.0817	1.1555	2
1.0404	1.1658	3
1.0098	1.1697	4
0.9818	1.1796	5
0.9523	1.1857	6
0.9230	1.1931	7
0.8997	1.2024	8
0.8818	1.2131	9
0.8539	1.2204	10
0.8340	1.2324	11
0.8104	1.2430	12
0.7844	1.2574	13
0.7715	1.2616	14
0.7409	1.2778	15
0.7373	1.2789	16
0.7179	1.2917	17
0.7015	1.2972	18
0.6837	1.3092	19
0.6683	1.3270	20
0.6529	1.3317	21
0.6328	1.3400	22
0.6218	1.3526	23
0.6058	1.3612	24
0.5866	1.3720	25
0.5793	1.3892	26
0.5698	1.3938	27
0.5572	1.3944	28
0.5406	1.4115	29
0.5305	1.4168	30
0.5160	1.4312	31
0.5134	1.4420	32
0.4982	1.4458	33
0.4911	1.4569	34
0.4779	1.4604	35
0.4720	1.4727	36
0.4583	1.4786	37
0.4456	1.4869	38
0.4449	1.4998	39
0.4324	1.5060	40
0.4222	1.5175	41
0.4223	1.5242	42
0.4116	1.5339	43
0.4086	1.5414	44
0.3968	1.5522	45
0.3919	1.5572	46
0.3875	1.5637	47
0.3766	1.5680	48
0.3712	1.5791	49

Framework versions

• Transformers 4.46.2
• TensorFlow 2.17.1
• Datasets 3.1.0
• Tokenizers 0.20.3