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ktk-ft – AI Model by H99 | AlphaNeural AI
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H99
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ktk-ft
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peft
safetensors
generated_from_trainer
TheBloke/Llama-2-13B-chat-GPTQ
adapter
llama2
us
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ktk-ft
This model is a fine-tuned version of
TheBloke/Llama-2-13B-chat-GPTQ
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0952
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: 20
eval_batch_size: 20
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 80
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.4484
0.9836
15
1.8189
1.6583
1.9672
30
1.4690
1.4394
2.9508
45
1.3210
1.1869
4.0
61
1.1479
1.1386
4.9180
75
1.0952
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
