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  1. README.md +69 -0
  2. all_results.json +9 -0
  3. train_results.json +9 -0
  4. trainer_state.json +0 -0
README.md ADDED
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+ ---
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+ base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-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: potpourri-testtime-finetuning-100_test_aug100
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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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+ # potpourri-testtime-finetuning-100_test_aug100
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+
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+ This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0128
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 32
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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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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+ | 0.0168 | 0.9989 | 451 | 0.0255 |
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+ | 0.0092 | 2.0 | 903 | 0.0133 |
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+ | 0.0019 | 2.9967 | 1353 | 0.0128 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
all_results.json ADDED
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+ {
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+ "epoch": 2.9966777408637872,
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+ "total_flos": 3.497196041273344e+17,
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+ "train_loss": 0.022314726969768228,
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+ "train_runtime": 28510.8763,
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+ "train_samples": 28895,
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+ "train_samples_per_second": 3.04,
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+ "train_steps_per_second": 0.047
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+ }
train_results.json ADDED
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+ {
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+ "epoch": 2.9966777408637872,
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+ "total_flos": 3.497196041273344e+17,
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+ "train_loss": 0.022314726969768228,
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+ "train_runtime": 28510.8763,
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+ "train_samples": 28895,
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+ "train_samples_per_second": 3.04,
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+ "train_steps_per_second": 0.047
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+ }
trainer_state.json ADDED
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