Model save
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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: Open-Orca/Mistral-7B-OpenOrca
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: saiga_mistral_7b
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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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# saiga_mistral_7b
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This model is a fine-tuned version of [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) on the generator 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: 0.0002
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- train_batch_size: 3
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 6
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 3
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### Training results
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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 3.0.2
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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": 32001,
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"eos_token_id": 32000,
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"pad_token_id": 32000,
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"transformers_version": "4.44.2"
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}
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runs/Oct29_09-34-33_65726de99d8f/events.out.tfevents.1730194566.65726de99d8f.3537.0
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