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_eli5_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-ds_eli5_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: 2.1196
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.0837        | 0.1   | 33   | 2.1338          |
+| 2.0369        | 0.2   | 66   | 2.1293          |
+| 2.0893        | 0.31  | 99   | 2.1324          |
+| 2.0821        | 0.41  | 132  | 2.1231          |
+| 2.0298        | 0.51  | 165  | 2.1225          |
+| 2.0817        | 0.61  | 198  | 2.1231          |
+| 2.0617        | 0.72  | 231  | 2.1205          |
+| 2.0323        | 0.82  | 264  | 2.1206          |
+| 2.0552        | 0.92  | 297  | 2.1196          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3