llama-3.2-amharic-32k-1024-v6
This model is a fine-tuned version of yosefw/llama-3.2-amharic-32k-1024-v6 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 4.0369
- eval_model_preparation_time: 0.0027
- eval_runtime: 25.3096
- eval_samples_per_second: 102.53
- eval_steps_per_second: 6.44
- epoch: 4.5197
- step: 18898
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: 0.00012
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- 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_ratio: 0.1
- lr_scheduler_warmup_steps: 200
- num_epochs: 6
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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