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-2-7b-hf-wiki-no-group-by-length_r_64_alpha_16
+  results: []
+library_name: peft
+---
+
+<!-- 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-wiki-no-group-by-length_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: 1.2454
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.288         | 0.3   | 71   | 1.2669          |
+| 1.2518        | 0.61  | 142  | 1.2545          |
+| 1.2438        | 0.91  | 213  | 1.2476          |
+| 1.1978        | 1.21  | 284  | 1.2481          |
+| 1.2036        | 1.51  | 355  | 1.2481          |
+| 1.1938        | 1.82  | 426  | 1.2454          |
+| 1.1833        | 2.12  | 497  | 1.2517          |
+| 1.1437        | 2.42  | 568  | 1.2538          |
+| 1.1469        | 2.73  | 639  | 1.2537          |
+
+
+### Framework versions
+
+- PEFT 0.4.0
+- Transformers 4.31.0
+- Pytorch 2.0.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3

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