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End of training

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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-2-13b-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: saiga13summary_v20
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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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+ # saiga13summary_v20
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1252
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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: 0.0003
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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: 10
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+ - total_train_batch_size: 20
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - training_steps: 200
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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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+ | 1.5622 | 0.8621 | 20 | 1.5155 |
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+ | 1.2731 | 1.7241 | 40 | 1.3525 |
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+ | 1.0342 | 2.5862 | 60 | 1.2242 |
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+ | 0.8946 | 3.4483 | 80 | 1.1574 |
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+ | 0.765 | 4.3103 | 100 | 1.1336 |
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+ | 0.7816 | 5.1724 | 120 | 1.1239 |
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+ | 0.728 | 6.0345 | 140 | 1.1192 |
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+ | 0.705 | 6.8966 | 160 | 1.1205 |
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+ | 0.6746 | 7.7586 | 180 | 1.1217 |
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+ | 0.6631 | 8.6207 | 200 | 1.1252 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.1.dev0
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.19.1
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