Model save

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-7b
+datasets:
+- generator
+model-index:
+- name: llamaduo_synth_ds_v0.1
+  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. -->
+
+# llamaduo_synth_ds_v0.1
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8292
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 12
+- total_eval_batch_size: 12
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7837        | 0.9995 | 939  | 1.9731          |
+| 0.7509        | 2.0    | 1879 | 1.9719          |
+| 0.7086        | 2.9995 | 2817 | 2.0286          |
+| 0.6156        | 4.0    | 3757 | 2.1647          |
+| 0.4937        | 4.9995 | 4696 | 2.3686          |
+| 0.4075        | 6.0    | 5636 | 2.7269          |
+| 0.3395        | 6.9995 | 6575 | 3.1681          |
+| 0.2962        | 8.0    | 7515 | 3.6134          |
+| 0.284         | 8.9995 | 8454 | 3.8100          |
+| 0.2782        | 9.9957 | 9390 | 3.8292          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.19.1

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all_results.json

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+{
+    "epoch": 9.99574241617882,
+    "total_flos": 1.0870943703560618e+19,
+    "train_loss": 0.28536031966011366,
+    "train_runtime": 35929.5875,
+    "train_samples": 151158,
+    "train_samples_per_second": 3.136,
+    "train_steps_per_second": 0.261
+}

runs/Apr30_07-56-03_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1714431383.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.8033.0

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train_results.json

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+{
+    "epoch": 9.99574241617882,
+    "total_flos": 1.0870943703560618e+19,
+    "train_loss": 0.28536031966011366,
+    "train_runtime": 35929.5875,
+    "train_samples": 151158,
+    "train_samples_per_second": 3.136,
+    "train_steps_per_second": 0.261
+}