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  1. README.md +67 -0
  2. all_results.json +9 -0
  3. generation_config.json +12 -0
  4. train_results.json +9 -0
  5. trainer_state.json +2088 -0
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/Meta-Llama-3.1-8B-Instruct
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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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+ model-index:
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+ - name: google_cloude_test_20k_transduction-gpt4omini_lr1e-5_epoch2_seed100_3
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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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+ # google_cloude_test_20k_transduction-gpt4omini_lr1e-5_epoch2_seed100_3
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0615
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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: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 32
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 2
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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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+ | 0.0963 | 0.9966 | 145 | 0.0735 |
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+ | 0.0658 | 1.9931 | 290 | 0.0615 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
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