llama3-chat_10000_500 – AI Model by mob2711 | AlphaNeural AI

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mob2711/
llama3-chat_10000_500

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unsloth/llama-2-7b-bnb-4bit

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llama3-chat_10000_500

This model is a fine-tuned version of unsloth/llama-2-7b-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1126

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: 0.0002
train_batch_size: 8
eval_batch_size: 4
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 5
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.1238	0.33	104	0.9666
1.0103	0.67	208	0.9480
1.0056	1.0	312	0.9424
0.921	1.33	416	0.9508
0.9252	1.66	520	0.9476
0.9219	2.0	624	0.9415
0.7968	2.33	728	0.9808
0.8012	2.66	832	0.9787
0.7975	3.0	936	0.9819
0.674	3.33	1040	1.0476
0.6638	3.66	1144	1.0509
0.6687	3.99	1248	1.0456
0.5858	4.33	1352	1.1100
0.5783	4.66	1456	1.1124
0.581	4.99	1560	1.1126

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.16.0
Tokenizers 0.15.2