End of training

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-7b-SFT_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-7b-SFT_eli5_wiki_1024_r_64_alpha_16
+
+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: 1.4181
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6675        | 0.3   | 250  | 1.4375          |
+| 1.6173        | 0.6   | 500  | 1.4273          |
+| 1.6354        | 0.9   | 750  | 1.4203          |
+| 1.5581        | 1.2   | 1000 | 1.4196          |
+| 1.5457        | 1.5   | 1250 | 1.4181          |
+| 1.5163        | 1.8   | 1500 | 1.4226          |
+| 1.1897        | 2.1   | 1750 | 1.4271          |
+| 1.1486        | 2.4   | 2000 | 1.4261          |
+| 1.1757        | 2.7   | 2250 | 1.4270          |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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