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SmolLM2-FT-MyDataset

Text Generation
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Safetensors
llama
smol-course
module_1
trl
sft
Generated from Trainer
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text-generation-inference
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  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,8 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # SmolLM2-FT-MyDataset
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  This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.0215
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 1.0715 | 0.0885 | 50 | 1.1590 |
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- | 1.1176 | 0.1770 | 100 | 1.1241 |
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- | 1.0683 | 0.2655 | 150 | 1.0955 |
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- | 1.0537 | 0.3540 | 200 | 1.0797 |
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- | 1.0467 | 0.4425 | 250 | 1.0705 |
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- | 1.0347 | 0.5310 | 300 | 1.0615 |
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- | 1.0088 | 0.6195 | 350 | 1.0548 |
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- | 1.0121 | 0.7080 | 400 | 1.0508 |
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- | 1.0266 | 0.7965 | 450 | 1.0426 |
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- | 1.0817 | 0.8850 | 500 | 1.0337 |
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- | 0.9961 | 0.9735 | 550 | 1.0283 |
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- | 0.8062 | 1.0619 | 600 | 1.0331 |
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- | 0.8166 | 1.1504 | 650 | 1.0299 |
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- | 0.7581 | 1.2389 | 700 | 1.0311 |
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- | 0.8606 | 1.3274 | 750 | 1.0285 |
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- | 0.8147 | 1.4159 | 800 | 1.0249 |
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- | 0.781 | 1.5044 | 850 | 1.0253 |
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- | 0.8281 | 1.5929 | 900 | 1.0228 |
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- | 0.8669 | 1.6814 | 950 | 1.0217 |
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- | 0.7959 | 1.7699 | 1000 | 1.0215 |
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  ### Framework versions
 
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  # SmolLM2-FT-MyDataset
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  This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 1
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  - eval_batch_size: 8
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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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  ### Training results
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  ### Framework versions
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