Model save

README.md

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+---
+base_model: meta-llama/Llama-2-13b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: Llama-2-13b-hf-ds_wiki_1024_full_r_64_alpha_16
+  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-hf-ds_wiki_1024_full_r_64_alpha_16
+
+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 None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1614
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2264        | 0.1   | 51   | 1.1930          |
+| 1.2074        | 0.2   | 102  | 1.1818          |
+| 1.1872        | 0.3   | 153  | 1.1759          |
+| 1.2033        | 0.4   | 204  | 1.1718          |
+| 1.1837        | 0.5   | 255  | 1.1691          |
+| 1.2006        | 0.6   | 306  | 1.1667          |
+| 1.1817        | 0.7   | 357  | 1.1648          |
+| 1.2066        | 0.8   | 408  | 1.1630          |
+| 1.1766        | 0.9   | 459  | 1.1614          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3