Tanabodee Limpaitoon commited on
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nvl-og/finetuned-ai

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README.md CHANGED
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # results
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- This model is a fine-tuned version of [meta-llama/Llama-3.2-3b-instruct](https://huggingface.co/meta-llama/Llama-3.2-3b-instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2300
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  ## Model description
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@@ -36,24 +36,24 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 8
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- - total_train_batch_size: 16
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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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  - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | No log | 0.9720 | 13 | 0.4116 |
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- | 0.819 | 1.9439 | 26 | 0.3048 |
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- | 0.3283 | 2.9907 | 40 | 0.2464 |
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- | 0.3283 | 3.9626 | 53 | 0.2307 |
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- | 0.2244 | 4.8598 | 65 | 0.2300 |
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  ### Framework versions
 
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  # results
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+ This model is a fine-tuned version of [meta-llama/Llama-3.2-3b-instruct](https://huggingface.co/meta-llama/Llama-3.2-3b-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7412
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 6
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+ - total_train_batch_size: 24
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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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  - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.7756 | 0.9982 | 94 | 1.7306 |
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+ | 1.62 | 1.9965 | 188 | 1.7028 |
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+ | 1.5795 | 2.9947 | 282 | 1.7088 |
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+ | 1.4914 | 3.9929 | 376 | 1.7279 |
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+ | 1.4776 | 4.9912 | 470 | 1.7412 |
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  ### Framework versions
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