Zephyr7B-10epoch-CC_dataset – AI Model by Lalith16 | AlphaNeural AI

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Lalith16/
Zephyr7B-10epoch-CC_dataset

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HuggingFaceH4/zephyr-7b-beta

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results

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7065

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: 0.00025
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.7779	0.35	100	1.0474
0.6553	0.69	200	0.8922
0.6339	1.04	300	0.7221
0.6018	1.39	400	0.7020
0.5853	1.74	500	0.6908
0.445	2.08	600	0.6887
0.4875	2.43	700	0.6783
0.4938	2.78	800	0.6883
0.3598	3.12	900	0.6893
0.3549	3.47	1000	0.6763
0.3624	3.82	1100	0.6971
0.344	4.17	1200	0.7348
0.3393	4.51	1300	0.7502
0.3823	4.86	1400	0.6861
0.3534	5.21	1500	0.6849
0.3632	5.56	1600	0.6585
0.3634	5.9	1700	0.6414
0.3002	6.25	1800	0.6662
0.3126	6.6	1900	0.6864
0.3129	6.94	2000	0.6638
0.259	7.29	2100	0.6967
0.27	7.64	2200	0.7059
0.3063	7.99	2300	0.6582
0.2814	8.33	2400	0.7205
0.3005	8.68	2500	0.7334
0.2862	9.03	2600	0.6839
0.3092	9.38	2700	0.6929
0.3078	9.72	2800	0.7065

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1