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--- |
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base_model: HuggingFaceTB/SmolLM2-360M |
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datasets: |
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- arrow |
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library_name: transformers |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: image-description_to_emotion |
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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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# image-description_to_emotion |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M](https://huggingface.co/HuggingFaceTB/SmolLM2-360M) on the arrow dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1650 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.5979 | 0.3361 | 50 | 0.5039 | |
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| 0.3262 | 0.6723 | 100 | 0.2783 | |
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| 0.2599 | 1.0084 | 150 | 0.2305 | |
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| 0.2211 | 1.3445 | 200 | 0.2071 | |
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| 0.2004 | 1.6807 | 250 | 0.1969 | |
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| 0.2094 | 2.0168 | 300 | 0.1840 | |
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| 0.1788 | 2.3529 | 350 | 0.1797 | |
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| 0.1709 | 2.6891 | 400 | 0.1739 | |
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| 0.1604 | 3.0252 | 450 | 0.1693 | |
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| 0.141 | 3.3613 | 500 | 0.1671 | |
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| 0.1479 | 3.6975 | 550 | 0.1650 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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