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llama-3.2-amharic-32k-1024-v4 – AI Model by yosefw | AlphaNeural AI
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llama-3.2-amharic-32k-1024-v4
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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-v4
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: 3.9352
eval_model_preparation_time: 0.0018
eval_runtime: 22.0635
eval_samples_per_second: 236.499
eval_steps_per_second: 7.433
epoch: 12.2654
step: 103134
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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_steps: 2000
num_epochs: 16
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
