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Tigranchick
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phi2-results2

PEFT
TensorBoard
Safetensors
trl
sft
Generated from Trainer
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fine-tuned adapter

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Files changed (11) hide show
  1. README.md +71 -0
  2. adapter_config.json +26 -0
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README.md ADDED
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+ ---
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+ license: mit
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+ library_name: peft
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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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+ datasets:
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+ - generator
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+ base_model: microsoft/phi-2
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+ model-index:
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+ - name: phi2-results2
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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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+ # phi2-results2
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+
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+ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3743
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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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 12
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+ - total_train_batch_size: 12
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - lr_scheduler_warmup_ratio: 0.3
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+ - num_epochs: 5
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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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+ | 1.2952 | 0.97 | 14 | 1.0035 |
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+ | 1.0151 | 2.0 | 29 | 0.6051 |
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+ | 0.5514 | 2.97 | 43 | 0.4484 |
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+ | 0.4471 | 4.0 | 58 | 0.3983 |
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+ | 0.4017 | 4.83 | 70 | 0.3743 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "megatron_core": "megatron.core",
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+ "target_modules": [
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+ "out_proj",
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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