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-eli5-wiki-1024_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-eli5-wiki-1024_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: 1.3368
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2775        | 0.1   | 84   | 1.3616          |
+| 1.8416        | 0.2   | 168  | 1.3548          |
+| 1.5602        | 0.3   | 252  | 1.3506          |
+| 1.2573        | 0.4   | 336  | 1.3446          |
+| 1.4359        | 0.5   | 420  | 1.3433          |
+| 1.5447        | 0.61  | 504  | 1.3420          |
+| 1.2692        | 0.71  | 588  | 1.3386          |
+| 1.4435        | 0.81  | 672  | 1.3374          |
+| 1.5443        | 0.91  | 756  | 1.3368          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3