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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: SmolLM2-360M-Instruct-finetuned
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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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# SmolLM2-360M-Instruct-finetuned
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.5292
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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: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 200
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- total_train_batch_size: 200
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 1 | 9.4215 |
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| No log | 2.0 | 2 | 6.0973 |
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| No log | 3.0 | 3 | 4.5292 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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runs/Jan02_13-48-27_LA-SOPYAN-TECH-LM/events.out.tfevents.1735800509.LA-SOPYAN-TECH-LM.82537.0
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trainer_state.json
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{
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"epoch": 3.0,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"logging_steps": 500,
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"max_steps": 3,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 3,
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"should_epoch_stop": false,
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}
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