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trained_weigths_2 – AI Model by Yan777 | AlphaNeural AI
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trained_weigths_2
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-chat-hf
adapter
us
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trained_weigths_2
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3984
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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8026
1.0
5194
0.4062
0.817
2.0
10388
0.3952
0.6804
3.0
15582
0.3953
0.725
4.0
20776
0.3984
Framework versions
PEFT 0.7.2.dev0
Transformers 4.36.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2
