Model save
Browse files- README.md +62 -0
- events.out.tfevents.1741460094.dfca901dbc5d.19577.0 +2 -2
- generation_config.json +7 -0
- model.safetensors +1 -1
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/SmolLM2-360M-Instruct
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tags:
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- generated_from_trainer
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model-index:
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- name: SlimPajama_10k_SmolLM2
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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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# SlimPajama_10k_SmolLM2
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.1627
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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: 0.0002
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- train_batch_size: 5
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- eval_batch_size: 5
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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: 1
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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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| 7.2885 | 0.25 | 500 | 6.7395 |
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| 6.5825 | 0.5 | 1000 | 6.3924 |
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| 6.3199 | 0.75 | 1500 | 6.2071 |
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| 6.188 | 1.0 | 2000 | 6.1627 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 2,
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"transformers_version": "4.48.3"
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}
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model.safetensors
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