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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: llama3.2
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+ base_model: meta-llama/Llama-3.2-1B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama-3.2-amharic-32k-1024-v4
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # llama-3.2-amharic-32k-1024-v4
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 3.9352
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+ - eval_model_preparation_time: 0.0018
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+ - eval_runtime: 22.0635
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+ - eval_samples_per_second: 236.499
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+ - eval_steps_per_second: 7.433
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+ - epoch: 12.2654
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+ - step: 103134
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 2000
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+ - num_epochs: 16
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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+ "_from_model_config": true,
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+ "transformers_version": "4.46.2"
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+ }
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