Model save

README.md

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+---
+license: llama3
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+datasets:
+- generator
+model-index:
+- name: llama3-meta_material-3epochs-1023
+  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. -->
+
+# llama3-meta_material-3epochs-1023
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- 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
+
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.0
+- Pytorch 2.1.2
+- Datasets 3.0.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1.620091928969216e+16,
+    "train_loss": 1.72514724640379,
+    "train_runtime": 38823.0414,
+    "train_samples": 2931,
+    "train_samples_per_second": 0.701,
+    "train_steps_per_second": 0.175
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1.620091928969216e+16,
+    "train_loss": 1.72514724640379,
+    "train_runtime": 38823.0414,
+    "train_samples": 2931,
+    "train_samples_per_second": 0.701,
+    "train_steps_per_second": 0.175
+}