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Cold-Data-LLama-2-7B – AI Model by Hassan25012004 | AlphaNeural AI
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Cold-Data-LLama-2-7B
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transformers
tensorboard
safetensors
llama
text-classification
generated_from_trainer
ahxt/LiteLlama-460M-1T
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Cold-Data-LLama-2-7B
This model is a fine-tuned version of
ahxt/LiteLlama-460M-1T
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7317
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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.5007
1.0
50
1.1548
3.3662
2.0
100
0.7128
3.1315
3.0
150
0.7317
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
