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llama3_full_policy_web – AI Model by quanwei0 | AlphaNeural AI
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llama3_full_policy_web
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
meta-llama/Llama-3.1-8B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
on the web_policy_sft dataset. It achieves the following results on the evaluation set:
Loss: 0.1689
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.4888
0.1878
50
0.4026
0.2158
0.3756
100
0.2778
0.2311
0.5634
150
0.2165
0.1806
0.7512
200
0.1829
0.183
0.9390
250
0.1692
Framework versions
Transformers 4.44.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1