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tinyllama-reasoning

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Ganesh01kumar02reddy/tinyllama-reasoning-v1

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Files changed (11) hide show
  1. README.md +69 -0
  2. adapter_config.json +43 -0
  3. adapter_model.safetensors +3 -0
  4. chat_template.jinja +15 -0
  5. runs/May04_12-19-26_61b1339e003b/events.out.tfevents.1777897166.61b1339e003b.1580.0 +3 -0
  6. runs/May04_12-24-15_61b1339e003b/events.out.tfevents.1777897455.61b1339e003b.1580.1 +3 -0
  7. runs/May04_12-27-34_61b1339e003b/events.out.tfevents.1777897654.61b1339e003b.1580.2 +3 -0
  8. runs/May04_12-31-56_61b1339e003b/events.out.tfevents.1777897916.61b1339e003b.1580.3 +3 -0
  9. tokenizer.json +0 -0
  10. tokenizer_config.json +15 -0
  11. training_args.bin +3 -0
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-reasoning
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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-reasoning
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4840
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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: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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+ - num_epochs: 2
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.6369 | 0.3697 | 50 | 1.5810 |
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+ | 1.5345 | 0.7394 | 100 | 1.5319 |
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+ | 1.5483 | 1.1035 | 150 | 1.5058 |
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+ | 1.4873 | 1.4732 | 200 | 1.4912 |
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+ | 1.4515 | 1.8429 | 250 | 1.4840 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.19.1
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+ - Transformers 5.0.0
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+ - Pytorch 2.10.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2
adapter_config.json ADDED
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+ "r": 8,
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+ "target_modules": [
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+ "q_proj",
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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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tokenizer_config.json ADDED
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+ {
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