Model save

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: Llama-2-7b-hf-eli5-cleaned-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-2-7b-hf-eli5-cleaned-1024_qlora
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2063
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1545        | 0.3   | 91   | 2.1962          |
+| 2.1436        | 0.6   | 182  | 2.1883          |
+| 2.1159        | 0.9   | 273  | 2.1853          |
+| 2.0772        | 1.21  | 364  | 2.1907          |
+| 2.076         | 1.51  | 455  | 2.1981          |
+| 2.0961        | 1.81  | 546  | 2.1883          |
+| 2.0357        | 2.11  | 637  | 2.1906          |
+| 2.0721        | 2.41  | 728  | 2.1973          |
+| 1.9755        | 2.71  | 819  | 2.2063          |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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