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End of training

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  1. README.md +74 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-2-13b-chat-hf
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+ library_name: peft
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+ license: llama2
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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: llama
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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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+ # llama
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-2-13b-chat-hf](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9527
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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: 0.0001
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+ - train_batch_size: 1
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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: 4
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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: 0.05
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+ - num_epochs: 10
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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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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 63 | 1.9396 |
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+ | 2.0383 | 2.0 | 126 | 1.9062 |
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+ | 2.0383 | 3.0 | 189 | 1.8975 |
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+ | 1.7606 | 4.0 | 252 | 1.8987 |
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+ | 1.7091 | 5.0 | 315 | 1.9029 |
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+ | 1.7091 | 6.0 | 378 | 1.9208 |
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+ | 1.6417 | 7.0 | 441 | 1.9328 |
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+ | 1.5963 | 8.0 | 504 | 1.9446 |
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+ | 1.5963 | 9.0 | 567 | 1.9513 |
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+ | 1.5704 | 10.0 | 630 | 1.9527 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.1+cu118
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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