End of training
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README.md
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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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<!-- 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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# llama-3.2-amharic-32k-1024-v4
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Framework versions
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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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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 1,
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"transformers_version": "4.46.2"
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}
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model.safetensors
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runs/Nov06_03-56-42_971fbb05990b/events.out.tfevents.1730865426.971fbb05990b.3109.0
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