Model: Grogros/dm-llama3.2-1BI-LucieFr-Al4-OWT-TV-ablation-h2d4 Source: Original Platform
58 lines
1.3 KiB
Markdown
58 lines
1.3 KiB
Markdown
---
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library_name: transformers
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license: llama3.2
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base_model: meta-llama/Llama-3.2-1B-Instruct
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tags:
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- generated_from_trainer
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model-index:
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- name: dm-llama3.2-1BI-LucieFr-Al4-OWT-TV-ablation-h2d4
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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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# dm-llama3.2-1BI-LucieFr-Al4-OWT-TV-ablation-h2d4
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the None dataset.
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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: 2e-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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
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No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 2500
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### Training results
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.7.0
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- Datasets 3.5.0
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- Tokenizers 0.20.4
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