Model save

README.md

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+---
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: l3.1-8b-inst-lora64-induction-gpt4wmini100k-mini100k-gpt4wmini20k-gpt4wllama20k-lr2e-4-ep3
+  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. -->
+
+# l3.1-8b-inst-lora64-induction-gpt4wmini100k-mini100k-gpt4wmini20k-gpt4wllama20k-lr2e-4-ep3
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2684
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2882        | 1.0   | 1784 | 0.2852          |
+| 0.257         | 2.0   | 3568 | 0.2705          |
+| 0.2329        | 3.0   | 5352 | 0.2684          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1.7156250092814991e+18,
+    "train_loss": 0.28245328673299386,
+    "train_runtime": 54133.2624,
+    "train_samples": 228290,
+    "train_samples_per_second": 12.652,
+    "train_steps_per_second": 0.099
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1.7156250092814991e+18,
+    "train_loss": 0.28245328673299386,
+    "train_runtime": 54133.2624,
+    "train_samples": 228290,
+    "train_samples_per_second": 12.652,
+    "train_steps_per_second": 0.099
+}