Ramikan-BR
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Update README.md
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README.md
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@@ -24,6 +24,7 @@ This llama model was trained 2x faster with [Unsloth](https://github.com/unsloth
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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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==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
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\\ /| Num examples = 967 | Num Epochs = 1
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O^O/ \_/ \ Batch size per device = 2 | Gradient Accumulation steps = 16
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@@ -31,6 +32,7 @@ O^O/ \_/ \ Batch size per device = 2 | Gradient Accumulation steps = 16
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"-____-" Number of trainable parameters = 100,925,440
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[30/30 26:26, Epoch 0/1]
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Step 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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@@ -61,4 +63,4 @@ Step Training Loss
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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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[<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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---
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==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
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\\ /| Num examples = 967 | Num Epochs = 1
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O^O/ \_/ \ Batch size per device = 2 | Gradient Accumulation steps = 16
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"-____-" Number of trainable parameters = 100,925,440
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[30/30 26:26, Epoch 0/1]
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Step 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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28 0.653600
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29 0.672500
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30 0.660900
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