Model save

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-2b
+datasets:
+- generator
+model-index:
+- name: gemma2b-summarize-gpt4o-256k
+  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. -->
+
+# gemma2b-summarize-gpt4o-256k
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4823
+
+## 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: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 96
+- total_eval_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 1.1964        | 0.9974  | 292  | 2.4892          |
+| 1.0954        | 1.9983  | 585  | 2.4542          |
+| 1.0621        | 2.9991  | 878  | 2.4533          |
+| 1.0523        | 4.0     | 1171 | 2.4547          |
+| 1.0188        | 4.9974  | 1463 | 2.4524          |
+| 1.0119        | 5.9983  | 1756 | 2.4544          |
+| 1.0028        | 6.9991  | 2049 | 2.4655          |
+| 0.9914        | 8.0     | 2342 | 2.4685          |
+| 0.9813        | 8.9974  | 2634 | 2.4743          |
+| 0.9756        | 9.9983  | 2927 | 2.4803          |
+| 0.9815        | 10.9991 | 3220 | 2.4823          |
+| 0.9657        | 12.0    | 3513 | 2.4844          |
+| 0.9694        | 12.9974 | 3805 | 2.4820          |
+| 0.968         | 13.9983 | 4098 | 2.4824          |
+| 0.9728        | 14.9616 | 4380 | 2.4823          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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all_results.json

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+{
+    "epoch": 14.961571306575577,
+    "total_flos": 5.145390446595277e+18,
+    "train_loss": 1.0581742508226333,
+    "train_runtime": 45587.0719,
+    "train_samples": 258442,
+    "train_samples_per_second": 9.241,
+    "train_steps_per_second": 0.096
+}

runs/Jun06_01-41-01_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1717605922.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.31076.0

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train_results.json

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+{
+    "epoch": 14.961571306575577,
+    "total_flos": 5.145390446595277e+18,
+    "train_loss": 1.0581742508226333,
+    "train_runtime": 45587.0719,
+    "train_samples": 258442,
+    "train_samples_per_second": 9.241,
+    "train_steps_per_second": 0.096
+}