Model save

README.md

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+---
+base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: engineer1-heavy-barc-llama3.1-8b-instruct-lora64-testtime-finetuning
+  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. -->
+
+# engineer1-heavy-barc-llama3.1-8b-instruct-lora64-testtime-finetuning
+
+This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0337
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.032         | 1.0   | 667  | 0.0307          |
+| 0.0169        | 2.0   | 1334 | 0.0286          |
+| 0.0019        | 3.0   | 2001 | 0.0337          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 2.2064687673350554e+17,
+    "train_loss": 0.016641332297180983,
+    "train_runtime": 13115.3958,
+    "train_samples": 21343,
+    "train_samples_per_second": 4.882,
+    "train_steps_per_second": 0.153
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 2.2064687673350554e+17,
+    "train_loss": 0.016641332297180983,
+    "train_runtime": 13115.3958,
+    "train_samples": 21343,
+    "train_samples_per_second": 4.882,
+    "train_steps_per_second": 0.153
+}