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llama-3-8b-hf-ft-chat-lora_1 – AI Model by ytcheng | AlphaNeural AI
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ytcheng
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llama-3-8b-hf-ft-chat-lora_1
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
meta-llama/Meta-Llama-3-8B
adapter
other
us
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llama-3-8b-hf-ft-chat-lora_1
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 2.9295
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.3
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
3.8283
0.9851
33
3.4186
2.711
2.0
67
2.5398
2.2647
2.9851
100
2.3353
2.0786
4.0
134
2.5266
1.9782
4.9851
167
2.9430
1.9104
6.0
201
2.9388
1.9121
6.9851
234
2.9504
1.9022
7.8806
264
2.9295
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1
