Harshatheeswar
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End of training
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README.md
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---
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library_name: transformers
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base_model: babylm/babyllama-100m-2024
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tags:
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- generated_from_trainer
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model-index:
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- name: babylama-gpttoken
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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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# babylama-gpttoken
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This model is a fine-tuned version of [babylm/babyllama-100m-2024](https://huggingface.co/babylm/babyllama-100m-2024) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 38.2921
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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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| 30.4256 | 0.9999 | 5559 | 29.8987 |
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| 38.306 | 1.9999 | 11119 | 37.7677 |
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| 38.7146 | 3.0000 | 16679 | 37.7375 |
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| 37.8024 | 4.0 | 22239 | 38.2709 |
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| 37.35 | 4.9993 | 27795 | 38.2921 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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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": 0,
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"transformers_version": "4.44.2"
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}
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runs/Nov08_14-05-26_cb1b313d4ecc/events.out.tfevents.1731074731.cb1b313d4ecc.5834.0
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version https://git-lfs.github.com/spec/v1
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size
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size 597615
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