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llama-book-summarizer – AI Model by vireak69 | AlphaNeural AI
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vireak69
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llama-book-summarizer
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
TinyLlama/TinyLlama-1.1B-Chat-v1.0
apache-2.0
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llama-book-summarizer
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8059
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: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.8177
0.7937
500
1.8099
1.7822
1.5873
1000
1.8058
1.7604
2.3810
1500
1.8059
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
