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results_packing – AI Model by Rub11037 | AlphaNeural AI
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results_packing
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adapter-transformers
tensorboard
safetensors
trl
sft
generated_from_trainer
text2text-generation
conversational
SanjiWatsuki/zephyrnt-3.8b
adapter
apache-2.0
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This model is a fine-tuned version of
SanjiWatsuki/zephyrnt-3.8b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9395
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.1345
2.3256
50
1.3787
1.1455
4.6512
100
0.9395
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
