experiments500czephymodelngay8t6 – AI Model by trungtienluong | AlphaNeural AI

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experiments500czephymodelngay8t6

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HuggingFaceH4/zephyr-7b-beta

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experiments500czephymodel

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: 0.3252

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: 3e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3186	0.88	50	0.2878
0.2214	1.77	100	0.2463
0.1555	2.65	150	0.2328
0.0922	3.54	200	0.2362
0.0659	4.42	250	0.2527
0.0373	5.31	300	0.2691
0.0282	6.19	350	0.2968
0.0268	7.08	400	0.2900
0.0251	7.96	450	0.3078
0.0207	8.85	500	0.3252
0.0198	9.73	550	0.3269

Framework versions

PEFT 0.11.1
Transformers 4.36.0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.15.2