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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: storage/tiny
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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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+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ # storage/tiny
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+
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0598
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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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: cosine
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+ - lr_scheduler_warmup_steps: 10
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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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+ | 1.9849 | 0.03 | 1 | 2.0811 |
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+ | 1.3107 | 0.17 | 5 | 1.1992 |
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+ | 0.6399 | 0.34 | 10 | 0.6359 |
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+ | 0.2779 | 0.51 | 15 | 0.2862 |
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+ | 0.1807 | 0.68 | 20 | 0.1634 |
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+ | 0.1256 | 0.85 | 25 | 0.1177 |
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+ | 0.097 | 1.0 | 30 | 0.0891 |
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+ | 0.1063 | 1.17 | 35 | 0.0734 |
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+ | 0.0769 | 1.34 | 40 | 0.0723 |
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+ | 0.0694 | 1.51 | 45 | 0.0633 |
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+ | 0.0687 | 1.69 | 50 | 0.0624 |
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+ | 0.0575 | 1.86 | 55 | 0.0622 |
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+ | 0.0516 | 2.01 | 60 | 0.0609 |
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+ | 0.0582 | 2.18 | 65 | 0.0603 |
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+ | 0.0611 | 2.35 | 70 | 0.0600 |
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+ | 0.0515 | 2.52 | 75 | 0.0598 |
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+ | 0.0704 | 2.69 | 80 | 0.0598 |
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+ | 0.0525 | 2.86 | 85 | 0.0598 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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