yosefw/llama-3.2-amharic-32k-1024-v4

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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
• —evalmodelpreparation_time: 0.0018
• —eval_runtime: 22.0635
• —evalsamplesper_second: 236.499
• —evalstepsper_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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 2000
• —num_epochs: 16

Framework versions

• —Transformers 4.46.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3