End of training
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README.md
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---
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library_name: transformers
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license: mit
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base_model: babylm/ltgbert-10m-2024
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tags:
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- generated_from_trainer
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model-index:
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- name: Ltg_bert
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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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# Ltg_bert
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This model is a fine-tuned version of [babylm/ltgbert-10m-2024](https://huggingface.co/babylm/ltgbert-10m-2024) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Use 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: cosine
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- num_epochs: 5
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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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| 0.0001 | 0.9997 | 2779 | 0.0000 |
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| 0.0 | 1.9997 | 5559 | 0.0000 |
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| 0.0 | 2.9998 | 8339 | 0.0000 |
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| 0.0 | 3.9998 | 11119 | 0.0000 |
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| 0.0 | 4.9984 | 13895 | 0.0000 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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runs/Nov26_18-50-05_5256e233a9e1/events.out.tfevents.1732647006.5256e233a9e1.1192.1
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 299991
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