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Aurora-Plus

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  1. final-checkpoint/README.md +59 -0
  2. final-checkpoint/adapter_config.json +26 -0
  3. final-checkpoint/adapter_model.safetensors +3 -0
  4. final-checkpoint/all_results.json +7 -0
  5. final-checkpoint/special_tokens_map.json +24 -0
  6. final-checkpoint/tokenizer.json +0 -0
  7. final-checkpoint/tokenizer.model +3 -0
  8. final-checkpoint/tokenizer_config.json +45 -0
  9. final-checkpoint/train_results.json +7 -0
  10. final-checkpoint/trainer_log.jsonl +195 -0
  11. final-checkpoint/trainer_state.json +1194 -0
  12. final-checkpoint/training_args.bin +3 -0
  13. final-checkpoint/training_loss.png +0 -0
final-checkpoint/README.md ADDED
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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - llama-factory
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+ - lora
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+ - generated_from_trainer
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+ base_model: ../Mixtral-8x7B-Instruct-v0.1
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+ model-index:
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+ - name: output2
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+ results: []
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+ ---
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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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+
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+ # output2
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+
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+ This model is a fine-tuned version of [../Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/../Mixtral-8x7B-Instruct-v0.1) on the sharegpt and the sharegpten datasets.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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: 1.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.0
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "inference_mode": true,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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