thegallier
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End of training
Browse files
README.md
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---
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base_model: meta-llama/Meta-Llama-3.1-8B
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library_name: peft
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license: llama3.1
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: llama3.18B-Fine-tunedByTheGallier
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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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# llama3.18B-Fine-tunedByTheGallier
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
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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: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- training_steps: 250
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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runs/Aug18_17-54-19_7c5528807525/events.out.tfevents.1724003681.7c5528807525.4313.0
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size 11528
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runs/Aug18_17-54-19_7c5528807525/events.out.tfevents.1724006535.7c5528807525.4313.1
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"max_length": 1024,
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"strategy": "LongestFirst",
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"stride": 0
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