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  1. README.md +68 -0
  2. generation_config.json +9 -0
  3. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: llama3.1
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+ base_model: meta-llama/Llama-3.1-8B
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: OH_DCFT_V3_wo_cot_alpaca
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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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+ # OH_DCFT_V3_wo_cot_alpaca
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6369
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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-06
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 16
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 512
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+ - total_eval_batch_size: 128
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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: 0.1
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+ - lr_scheduler_warmup_steps: 1738
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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.6443 | 0.9982 | 418 | 0.6460 |
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+ | 0.6046 | 1.9988 | 837 | 0.6354 |
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+ | 0.5716 | 2.9946 | 1254 | 0.6369 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.3.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.20.2
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 128000,
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+ "do_sample": true,
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+ "eos_token_id": 128001,
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+ "temperature": 0.6,
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+ "top_p": 0.9,
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+ "transformers_version": "4.45.2"
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+ }
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