73 lines
1.9 KiB
Markdown
73 lines
1.9 KiB
Markdown
---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: slm-125m-tutor
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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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# slm-125m-tutor
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0573
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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: 0.03
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- num_epochs: 3
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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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| 1.3378 | 0.2863 | 500 | 1.2903 |
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| 1.2281 | 0.5726 | 1000 | 1.1914 |
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| 1.1361 | 0.8589 | 1500 | 1.1385 |
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| 0.9816 | 1.1449 | 2000 | 1.1079 |
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| 0.9342 | 1.4311 | 2500 | 1.0880 |
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| 0.9271 | 1.7174 | 3000 | 1.0697 |
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| 0.9189 | 2.0034 | 3500 | 1.0578 |
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| 0.7955 | 2.2897 | 4000 | 1.0619 |
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| 0.8140 | 2.5760 | 4500 | 1.0589 |
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| 0.8316 | 2.8623 | 5000 | 1.0573 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.3
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- Tokenizers 0.22.2
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