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-128k
+  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-128k
+
+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: 2.5233
+
+## 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: 2
+- total_train_batch_size: 48
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2085        | 1.0   | 293  | 2.4863          |
+| 1.1135        | 2.0   | 586  | 2.4516          |
+| 1.0715        | 3.0   | 879  | 2.4473          |
+| 1.0471        | 4.0   | 1172 | 2.4524          |
+| 1.0357        | 5.0   | 1465 | 2.4685          |
+| 0.993         | 6.0   | 1758 | 2.4703          |
+| 0.9941        | 7.0   | 2051 | 2.4906          |
+| 0.9844        | 8.0   | 2344 | 2.4896          |
+| 0.9779        | 9.0   | 2637 | 2.5025          |
+| 0.9639        | 10.0  | 2930 | 2.5126          |
+| 0.952         | 11.0  | 3223 | 2.5192          |
+| 0.9505        | 12.0  | 3516 | 2.5205          |
+| 0.9442        | 13.0  | 3809 | 2.5223          |
+| 0.9469        | 14.0  | 4102 | 2.5227          |
+| 0.9444        | 15.0  | 4395 | 2.5233          |
+
+
+### 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": 15.0,
+    "total_flos": 2.581505823377195e+18,
+    "train_loss": 1.0488379673203783,
+    "train_runtime": 23446.7186,
+    "train_samples": 129221,
+    "train_samples_per_second": 8.983,
+    "train_steps_per_second": 0.187
+}

runs/Jun05_19-07-23_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1717582183.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.28442.0

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train_results.json

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+{
+    "epoch": 15.0,
+    "total_flos": 2.581505823377195e+18,
+    "train_loss": 1.0488379673203783,
+    "train_runtime": 23446.7186,
+    "train_samples": 129221,
+    "train_samples_per_second": 8.983,
+    "train_steps_per_second": 0.187
+}