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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: HuggingFaceTB/SmolLM2-135M
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+ tags:
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+ - smol-course
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+ - module_1
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+ - trl
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+ - sft
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: SmolLM2-FT-MyDataset
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+ results: []
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+ ---
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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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+
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+ # SmolLM2-FT-MyDataset
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+
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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: 0.9266
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - lr_scheduler_type: linear
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+ - training_steps: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.0161 | 0.0982 | 50 | 1.0429 |
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+ | 0.9943 | 0.1965 | 100 | 1.0086 |
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+ | 0.953 | 0.2947 | 150 | 0.9906 |
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+ | 0.9561 | 0.3929 | 200 | 0.9802 |
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+ | 0.9585 | 0.4912 | 250 | 0.9699 |
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+ | 0.9394 | 0.5894 | 300 | 0.9597 |
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+ | 0.9284 | 0.6876 | 350 | 0.9535 |
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+ | 0.9237 | 0.7859 | 400 | 0.9462 |
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+ | 0.8945 | 0.8841 | 450 | 0.9402 |
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+ | 0.9043 | 0.9823 | 500 | 0.9348 |
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+ | 0.7479 | 1.0806 | 550 | 0.9421 |
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+ | 0.805 | 1.1788 | 600 | 0.9388 |
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+ | 0.7359 | 1.2770 | 650 | 0.9382 |
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+ | 0.7437 | 1.3752 | 700 | 0.9365 |
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+ | 0.7778 | 1.4735 | 750 | 0.9336 |
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+ | 0.7678 | 1.5717 | 800 | 0.9317 |
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+ | 0.7452 | 1.6699 | 850 | 0.9301 |
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+ | 0.7373 | 1.7682 | 900 | 0.9279 |
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+ | 0.738 | 1.8664 | 950 | 0.9269 |
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+ | 0.7513 | 1.9646 | 1000 | 0.9266 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.10.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.19.1
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+ "tie_word_embeddings": true,
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+ "use_cache": true,
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+ "vocab_size": 49152
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+ }
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