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Model: aephil/lab7-shakespeare-generator
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-135M
+tags:
+- generated_from_trainer
+model-index:
+- name: lab7-shakespeare-generator
+  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. -->
+
+# lab7-shakespeare-generator
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2402
+
+## 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: 0.0005
+- train_batch_size: 8
+- 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: cosine
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.3220        | 0.2747 | 100  | 3.2996          |
+| 3.2670        | 0.5495 | 200  | 3.2597          |
+| 3.0610        | 0.8242 | 300  | 3.2052          |
+| 2.7010        | 1.0989 | 400  | 3.2456          |
+| 2.4893        | 1.3736 | 500  | 3.2413          |
+| 2.4860        | 1.6484 | 600  | 3.2417          |
+| 2.4518        | 1.9231 | 700  | 3.2405          |
+| 2.4518        | 2.0    | 728  | 3.2402          |
+
+
+### Framework versions
+
+- Transformers 5.13.1
+- Pytorch 2.9.1+cu128
+- Datasets 5.0.0
+- Tokenizers 0.22.2