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-cleaned-wiki65k-1024_qlora
+  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-cleaned-wiki65k-1024_qlora
+
+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: 1.3173
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.246         | 0.1   | 82   | 1.3429          |
+| 1.7867        | 0.2   | 164  | 1.3370          |
+| 1.2111        | 0.3   | 246  | 1.3305          |
+| 1.419         | 0.4   | 328  | 1.3258          |
+| 1.8005        | 0.51  | 410  | 1.3248          |
+| 1.1999        | 0.61  | 492  | 1.3216          |
+| 1.4048        | 0.71  | 574  | 1.3197          |
+| 1.5675        | 0.81  | 656  | 1.3193          |
+| 1.2459        | 0.91  | 738  | 1.3173          |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3