llama-3.2-amharic-32k-1024-v7

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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