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.gitattributes CHANGED
@@ -59,3 +59,4 @@ g2_1_oldcode_cm_newcode/250M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g2_1_oldcode_cm_newcode/500M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g2_1_oldcode_cm_newcode/1000M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g2_1_oldcode_cm_newcode__edit/250M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
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  g2_1_oldcode_cm_newcode/500M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g2_1_oldcode_cm_newcode/1000M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g2_1_oldcode_cm_newcode__edit/250M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ g2_1_oldcode_cm_newcode__edit/500M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
g2_1_oldcode_cm_newcode__edit/500M/README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: 500M
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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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+ # 500M
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+
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+ This model is a fine-tuned version of [/lus/flare/projects/MultiModalLLM/model-weights/gemma_base](https://huggingface.co//lus/flare/projects/MultiModalLLM/model-weights/gemma_base) on the rv5_g2_1_oldcode_cm_newcode, the instruct_replay_gemma and the edit_instruct_gemma datasets.
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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: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 12
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+ - total_train_batch_size: 12
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+ - total_eval_batch_size: 96
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: warmup_stable_decay
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+ - lr_scheduler_warmup_steps: 178
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+ - training_steps: 5597
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.10.0
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+ - Pytorch 2.10.0a0+git449b176
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+ - Datasets 4.5.0
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+ - Tokenizers 0.22.2
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+ "train_steps_per_second": 0.758
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+ }
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+ {% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content + '<eos>' }}{% endif %}{% endfor %}
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