End of training

README.md

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+---
+language:
+- multilingual
+base_model: meta-llama/Llama-2-13b-hf
+tags:
+- generated_from_trainer
+datasets:
+- STEM
+model-index:
+- name: llama-2-13b-llm-science-exam-kaggle
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# llama-2-13b-llm-science-exam-kaggle
+
+This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the llm-science-exam dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.5339
+- eval_runtime: 1031.3967
+- eval_samples_per_second: 0.194
+- eval_steps_per_second: 0.097
+- epoch: 0.48
+- step: 200
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 1
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.0

adapter_model.bin

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tokenizer.json

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