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README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-2-13b-hf
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Llama-2-13b-hf-eli5-wiki-1024_qlora
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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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+ # Llama-2-13b-hf-eli5-wiki-1024_qlora
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3502
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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: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.03
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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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+ | 1.5071 | 0.15 | 125 | 1.3593 |
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+ | 1.5606 | 0.3 | 250 | 1.3514 |
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+ | 1.452 | 0.45 | 375 | 1.3441 |
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+ | 1.5435 | 0.6 | 500 | 1.3423 |
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+ | 1.4355 | 0.75 | 625 | 1.3373 |
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+ | 1.5407 | 0.9 | 750 | 1.3371 |
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+ | 1.1397 | 1.05 | 875 | 1.3361 |
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+ | 1.4666 | 1.2 | 1000 | 1.3383 |
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+ | 1.1651 | 1.35 | 1125 | 1.3374 |
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+ | 1.4819 | 1.5 | 1250 | 1.3372 |
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+ | 1.1667 | 1.65 | 1375 | 1.3361 |
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+ | 1.4585 | 1.8 | 1500 | 1.3348 |
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+ | 1.138 | 1.95 | 1625 | 1.3339 |
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+ | 1.069 | 2.1 | 1750 | 1.3474 |
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+ | 1.7055 | 2.25 | 1875 | 1.3596 |
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+ | 1.0747 | 2.4 | 2000 | 1.3498 |
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+ | 1.7118 | 2.55 | 2125 | 1.3580 |
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+ | 1.0339 | 2.7 | 2250 | 1.3502 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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