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--- |
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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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- generated_from_trainer |
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model-index: |
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- name: myBit-Llama2-jp-127M-test-2 |
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results: [] |
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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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# myBit-Llama2-jp-127M-test-2 |
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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: 10.6538 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.00024 |
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- train_batch_size: 96 |
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- eval_batch_size: 96 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- lr_scheduler_warmup_steps: 250 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 9.1311 | 0.04 | 100 | 7.5382 | |
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| 6.9064 | 0.07 | 200 | 6.6416 | |
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| 6.3625 | 0.11 | 300 | 6.1490 | |
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| 5.8774 | 0.15 | 400 | 5.6766 | |
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| 5.6517 | 0.18 | 500 | 6.1719 | |
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| 8.8804 | 0.22 | 600 | 10.4020 | |
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| 10.5191 | 0.26 | 700 | 10.5768 | |
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| 10.5934 | 0.29 | 800 | 10.6068 | |
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| 10.613 | 0.33 | 900 | 10.6190 | |
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| 10.622 | 0.37 | 1000 | 10.6256 | |
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| 10.6276 | 0.41 | 1100 | 10.6300 | |
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| 10.6315 | 0.44 | 1200 | 10.6332 | |
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| 10.6343 | 0.48 | 1300 | 10.6361 | |
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| 10.6368 | 0.52 | 1400 | 10.6383 | |
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| 10.6389 | 0.55 | 1500 | 10.6402 | |
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| 10.6408 | 0.59 | 1600 | 10.6419 | |
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| 10.6424 | 0.63 | 1700 | 10.6434 | |
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| 10.6439 | 0.66 | 1800 | 10.6447 | |
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| 10.6453 | 0.7 | 1900 | 10.6460 | |
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| 10.6465 | 0.74 | 2000 | 10.6473 | |
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| 10.6476 | 0.77 | 2100 | 10.6483 | |
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| 10.6487 | 0.81 | 2200 | 10.6494 | |
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| 10.6497 | 0.85 | 2300 | 10.6503 | |
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| 10.6505 | 0.88 | 2400 | 10.6511 | |
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| 10.6514 | 0.92 | 2500 | 10.6521 | |
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| 10.6521 | 0.96 | 2600 | 10.6527 | |
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| 10.6532 | 0.99 | 2700 | 10.6538 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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