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finetuned_llama – AI Model by Yash1202 | AlphaNeural AI
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finetuned_llama
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-chat-hf
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finetuned_llama
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: 3.8079
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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
260
3.9343
4.8957
2.0
520
3.8247
4.8957
3.0
780
3.8079
Framework versions
PEFT 0.9.0
Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.16.0
Tokenizers 0.15.2
