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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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- smol-course
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- module_1
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: SmolLM2-FT
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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-FT
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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: 1.0016
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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: 4
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- eval_batch_size: 8
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- seed: 42
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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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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0523 | 0.0885 | 50 | 1.1397 |
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| 1.096 | 0.1770 | 100 | 1.1030 |
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| 1.048 | 0.2655 | 150 | 1.0750 |
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| 1.0342 | 0.3540 | 200 | 1.0596 |
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| 1.0262 | 0.4425 | 250 | 1.0505 |
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| 1.0168 | 0.5310 | 300 | 1.0413 |
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| 0.989 | 0.6195 | 350 | 1.0342 |
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| 0.992 | 0.7080 | 400 | 1.0307 |
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| 1.0056 | 0.7965 | 450 | 1.0224 |
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| 1.0605 | 0.8850 | 500 | 1.0137 |
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| 0.9758 | 0.9735 | 550 | 1.0081 |
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| 0.7922 | 1.0619 | 600 | 1.0134 |
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| 0.8005 | 1.1504 | 650 | 1.0096 |
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| 0.7443 | 1.2389 | 700 | 1.0111 |
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| 0.8439 | 1.3274 | 750 | 1.0089 |
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| 0.8013 | 1.4159 | 800 | 1.0050 |
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| 0.7648 | 1.5044 | 850 | 1.0054 |
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| 0.8123 | 1.5929 | 900 | 1.0030 |
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| 0.8511 | 1.6814 | 950 | 1.0018 |
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| 0.7797 | 1.7699 | 1000 | 1.0016 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.1+cu118
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- Datasets 3.0.2
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- Tokenizers 0.20.0
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