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_v3
+  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_v3
+
+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: 0.5920
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6267        | 1.0   | 469  | 0.6078          |
+| 0.5094        | 2.0   | 938  | 0.5335          |
+| 0.513         | 3.0   | 1407 | 0.5142          |
+| 0.4306        | 4.0   | 1876 | 0.5044          |
+| 0.4128        | 5.0   | 2345 | 0.5017          |
+| 0.3924        | 6.0   | 2814 | 0.5093          |
+| 0.3684        | 7.0   | 3283 | 0.5168          |
+| 0.3403        | 8.0   | 3752 | 0.5338          |
+| 0.311         | 9.0   | 4221 | 0.5566          |
+| 0.2853        | 10.0  | 4690 | 0.5920          |
+
+
+### 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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 size 167832240

all_results.json

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+{
+    "epoch": 10.0,
+    "total_flos": 3.4794514845867704e+18,
+    "train_loss": 0.46453510172077334,
+    "train_runtime": 112907.655,
+    "train_samples": 50709,
+    "train_samples_per_second": 0.997,
+    "train_steps_per_second": 0.125
+}

train_results.json

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+{
+    "epoch": 10.0,
+    "total_flos": 3.4794514845867704e+18,
+    "train_loss": 0.46453510172077334,
+    "train_runtime": 112907.655,
+    "train_samples": 50709,
+    "train_samples_per_second": 0.997,
+    "train_steps_per_second": 0.125
+}