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syn-dataaug-youtube-context – AI Model by layai | AlphaNeural AI
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syn-dataaug-youtube-context
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transformers
safetensors
llama
text-generation
generated_from_trainer
meta-llama/Meta-Llama-3-8B
finetune
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.7005
Accuracy: 0.4548
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: 5e-05
train_batch_size: 40
eval_batch_size: 40
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 160
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7716
0.6479
500
3.7005
0.4548
0.3675
1.2958
1000
3.8487
0.4565
0.2102
1.9436
1500
3.9705
0.4568
0.1164
2.5915
2000
4.1546
0.4570
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
