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README.md
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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: Locutusque/TinyMistral-248M-v2.5
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tags:
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- generated_from_trainer
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model-index:
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- name: ChessMistral-248M-V1.0
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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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# ChessMistral-248M-V1.0
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This model is a fine-tuned version of [Locutusque/TinyMistral-248M-v2.5](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5) on an unknown 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: 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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- 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: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.7.1+cu118
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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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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"transformers_version": "4.52.4"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 992108712
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version https://git-lfs.github.com/spec/v1
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size 992108712
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runs/Jul28_19-50-49_André/events.out.tfevents.1753743052.André.9568.0
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version https://git-lfs.github.com/spec/v1
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size
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size 10339
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