67 lines
1.8 KiB
Markdown
67 lines
1.8 KiB
Markdown
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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: lab7-shakespeare-generator
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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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# lab7-shakespeare-generator
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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: 3.2402
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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: 0.0005
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- train_batch_size: 8
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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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- lr_scheduler_warmup_steps: 50
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 3.3220 | 0.2747 | 100 | 3.2996 |
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| 3.2670 | 0.5495 | 200 | 3.2597 |
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| 3.0610 | 0.8242 | 300 | 3.2052 |
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| 2.7010 | 1.0989 | 400 | 3.2456 |
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| 2.4893 | 1.3736 | 500 | 3.2413 |
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| 2.4860 | 1.6484 | 600 | 3.2417 |
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| 2.4518 | 1.9231 | 700 | 3.2405 |
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| 2.4518 | 2.0 | 728 | 3.2402 |
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### Framework versions
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- Transformers 5.13.1
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- Pytorch 2.9.1+cu128
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- Datasets 5.0.0
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- Tokenizers 0.22.2
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