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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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- tinyllamacoder-py |
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- coder-py |
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- coder |
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base_model: unsloth/tinyllama-bnb-4bit |
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--- |
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--- >- |
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==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1 \\ /| Num |
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examples = 967 | Num Epochs = 1 O^O/ \_/ \ Batch size per device = 2 | Gradient |
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Accumulation steps = 16 \ / Total batch size = 32 | Total steps = 30 "-____-" |
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Number of trainable parameters = 100,925,440 [30/30 26:26, Epoch 0/1] Step |
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Training Loss |
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1 1.737000 |
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2 1.738000 |
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3 1.384700 |
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4 1.086400 |
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5 1.009600 |
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6 0.921000 |
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7 0.830400 |
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8 0.808900 |
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9 0.774500 |
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10 0.759900 |
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11 0.736100 |
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12 0.721200 |
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13 0.733200 |
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14 0.701000 |
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15 0.711700 |
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16 0.701400 |
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17 0.689500 |
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18 0.678800 |
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19 0.675200 |
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20 0.680500 |
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21 0.685800 |
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22 0.681200 |
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23 0.672000 |
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24 0.679900 |
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25 0.675500 |
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26 0.666600 |
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27 0.687900 |
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28 0.653600 |
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29 0.672500 |
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30 0.660900 |
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--- |
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null |
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# Uploaded model |
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- **Developed by:** Ramikan-BR |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/tinyllama-bnb-4bit |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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