End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM-135M
+tags:
+- generated_from_trainer
+model-index:
+- name: Assignment2-new-V3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Assignment2-new-V3
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2898
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0969        | 0.2667 | 200  | 3.2086          |
+| 2.7618        | 0.5333 | 400  | 3.1396          |
+| 2.6575        | 0.8    | 600  | 3.1075          |
+| 2.3658        | 1.0667 | 800  | 3.2368          |
+| 1.6353        | 1.3333 | 1000 | 3.3381          |
+| 1.6669        | 1.6    | 1200 | 3.2797          |
+| 1.6874        | 1.8667 | 1400 | 3.2898          |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1