Model save

README.md

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+---
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+datasets:
+- generator
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: hansken_human_hql_v2
+  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. -->
+
+# hansken_human_hql_v2
+
+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 generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3326
+
+## 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
+- gradient_accumulation_steps: 8
+- total_train_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: 30
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3676        | 0.9994 | 788  | 0.3796          |
+| 0.2968        | 2.0    | 1577 | 0.3381          |
+| 0.2658        | 2.9994 | 2365 | 0.3186          |
+| 0.2389        | 4.0    | 3154 | 0.3031          |
+| 0.2098        | 4.9994 | 3942 | 0.3035          |
+| 0.185         | 6.0    | 4731 | 0.3079          |
+| 0.1707        | 6.9994 | 5519 | 0.3125          |
+| 0.1578        | 8.0    | 6308 | 0.3237          |
+| 0.1426        | 8.9994 | 7096 | 0.3326          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.43.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_model.safetensors

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all_results.json

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+{
+    "epoch": 8.999365884590995,
+    "total_flos": 5.264803297235042e+18,
+    "train_loss": 0.26379992237908867,
+    "train_runtime": 178382.3033,
+    "train_samples": 71943,
+    "train_samples_per_second": 1.061,
+    "train_steps_per_second": 0.133
+}

runs/Sep06_00-12-35_938RL43/events.out.tfevents.1725574476.938RL43.2432199.0

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train_results.json

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+{
+    "epoch": 8.999365884590995,
+    "total_flos": 5.264803297235042e+18,
+    "train_loss": 0.26379992237908867,
+    "train_runtime": 178382.3033,
+    "train_samples": 71943,
+    "train_samples_per_second": 1.061,
+    "train_steps_per_second": 0.133
+}