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llama-3.2-amharic-32k-1024-v7 – AI Model by yosefw | AlphaNeural AI
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llama-3.2-amharic-32k-1024-v7
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
meta-llama/Llama-3.2-1B
finetune
llama3.2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama-3.2-amharic-32k-1024-v7
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 4.0333
eval_model_preparation_time: 0.0024
eval_runtime: 11.8193
eval_samples_per_second: 885.331
eval_steps_per_second: 6.938
epoch: 7.7322
step: 32599
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: 0.0003
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
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: 0.1
lr_scheduler_warmup_steps: 1000
num_epochs: 16
mixed_precision_training: Native AMP
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
