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Badpsi/tinyllama-code-explainer

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ tags:
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+ - base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ - lora
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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: tinyllama-code-explainer
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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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+ # tinyllama-code-explainer
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+
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
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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: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1
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+ - training_steps: 50
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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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+ - PEFT 0.16.0
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+ - Transformers 4.54.1
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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+ "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "target_modules": [
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+ "k_proj",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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chat_template.jinja ADDED
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+ {% for message in messages %}
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+ {% if message['role'] == 'user' %}
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+ {{ '<|user|>
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+ ' + message['content'] + eos_token }}
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+ {% elif message['role'] == 'system' %}
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+ {{ '<|system|>
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+ ' + message['content'] + eos_token }}
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+ {% elif message['role'] == 'assistant' %}
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+ {{ '<|assistant|>
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+ ' + message['content'] + eos_token }}
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+ {% endif %}
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+ {% if loop.last and add_generation_prompt %}
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+ {{ '<|assistant|>' }}
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+ {% endif %}
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+ {% endfor %}
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