Model save

README.md

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+---
+base_model: meta-llama/Meta-Llama-3.1-8B
+datasets:
+- generator
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: llama3.1-8b-coding-gpt4o-100k
+  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. -->
+
+# llama3.1-8b-coding-gpt4o-100k
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3444
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.741         | 1.0   | 525  | 1.3567          |
+| 0.7109        | 2.0   | 1050 | 1.3158          |
+| 0.7026        | 3.0   | 1575 | 1.3116          |
+| 0.6682        | 4.0   | 2100 | 1.3090          |
+| 0.6825        | 5.0   | 2625 | 1.3126          |
+| 0.6429        | 6.0   | 3150 | 1.3228          |
+| 0.6334        | 7.0   | 3675 | 1.3276          |
+| 0.6257        | 8.0   | 4200 | 1.3404          |
+| 0.6314        | 9.0   | 4725 | 1.3410          |
+| 0.6205        | 10.0  | 5250 | 1.3444          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.43.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_model.safetensors

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all_results.json

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+{
+    "epoch": 10.0,
+    "total_flos": 7.760593801491513e+18,
+    "train_loss": 0.6862981784684318,
+    "train_runtime": 15610.7374,
+    "train_samples": 116368,
+    "train_samples_per_second": 10.757,
+    "train_steps_per_second": 0.336
+}

runs/Aug06_13-14-31_8e5050635fe7/events.out.tfevents.1722964836.8e5050635fe7.2383.0

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train_results.json

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+{
+    "epoch": 10.0,
+    "total_flos": 7.760593801491513e+18,
+    "train_loss": 0.6862981784684318,
+    "train_runtime": 15610.7374,
+    "train_samples": 116368,
+    "train_samples_per_second": 10.757,
+    "train_steps_per_second": 0.336
+}