End of training
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README.md
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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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- generated_from_trainer
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model-index:
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- name: Assignment2-new-V2
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results: []
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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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# Assignment2-new-V2
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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: 2.8091
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.713 | 0.2132 | 200 | 3.0735 |
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| 2.5006 | 0.4264 | 400 | 2.9744 |
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| 2.429 | 0.6397 | 600 | 2.9010 |
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| 2.3265 | 0.8529 | 800 | 2.8553 |
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| 2.2522 | 1.0661 | 1000 | 2.8387 |
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| 2.0312 | 1.2793 | 1200 | 2.8240 |
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| 2.0413 | 1.4925 | 1400 | 2.8113 |
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| 2.0028 | 1.7058 | 1600 | 2.7954 |
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| 1.9609 | 1.9190 | 1800 | 2.7805 |
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| 1.9085 | 2.1322 | 2000 | 2.8096 |
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| 1.8474 | 2.3454 | 2200 | 2.8107 |
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| 1.8337 | 2.5586 | 2400 | 2.8090 |
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| 1.8102 | 2.7719 | 2600 | 2.8089 |
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| 1.8408 | 2.9851 | 2800 | 2.8091 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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