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.gitattributes

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README.md

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+---
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B-Instruct
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- meng-lab/Llama-3.1-8B-Instruct-gsm8k
+model-index:
+- name: Llama-3.1-8B-Instruct-sft-5e-3-epoch-100-gsm8k
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uva-llm/huggingface/runs/aofsi06v)
+# Llama-3.1-8B-Instruct-sft-5e-3-epoch-100-gsm8k
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the meng-lab/Llama-3.1-8B-Instruct-gsm8k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.0386
+- Loss Layer 4 Head: 1.7920
+- Loss Layer 8 Head: 1.4613
+- Loss Layer 12 Head: 1.4113
+- Loss Layer 16 Head: 0.7502
+- Loss Layer 20 Head: 0.3285
+- Loss Layer 24 Head: 0.1760
+- Loss Layer 28 Head: 0.0876
+
+## 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: 0.005
+- train_batch_size: 1
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Loss Layer 4 Head | Loss Layer 8 Head | Loss Layer 12 Head | Loss Layer 16 Head | Loss Layer 20 Head | Loss Layer 24 Head | Loss Layer 28 Head |
+|:-------------:|:-------:|:----:|:---------------:|:-----------------:|:-----------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|
+| 5.3945        | 23.6162 | 200  | 7.0517          | 2.0468            | 1.7131            | 1.5892             | 0.8683             | 0.4093             | 0.2547             | 0.1286             |
+| 3.8702        | 47.2325 | 400  | 6.2998          | 1.8651            | 1.5127            | 1.4674             | 0.7790             | 0.3461             | 0.1892             | 0.1047             |
+| 3.146         | 70.8487 | 600  | 6.0631          | 1.8044            | 1.4661            | 1.4136             | 0.7520             | 0.3300             | 0.1769             | 0.0885             |
+| 3.0395        | 94.4649 | 800  | 6.0386          | 1.7920            | 1.4613            | 1.4113             | 0.7502             | 0.3285             | 0.1760             | 0.0876             |
+
+
+### Framework versions
+
+- Transformers 4.43.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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