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-claude3sonnet-64k
+  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-claude3sonnet-64k
+
+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: 2.5427
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|
+| 1.163         | 0.9975  | 200  | 2.5127          |
+| 1.0647        | 2.0     | 401  | 2.4643          |
+| 1.0051        | 2.9975  | 601  | 2.4610          |
+| 0.9807        | 4.0     | 802  | 2.4767          |
+| 0.9508        | 4.9975  | 1002 | 2.4788          |
+| 0.9256        | 6.0     | 1203 | 2.4912          |
+| 0.9216        | 6.9975  | 1403 | 2.5038          |
+| 0.9094        | 8.0     | 1604 | 2.5124          |
+| 0.8961        | 8.9975  | 1804 | 2.5246          |
+| 0.8816        | 10.0    | 2005 | 2.5342          |
+| 0.8722        | 10.9975 | 2205 | 2.5346          |
+| 0.8768        | 12.0    | 2406 | 2.5410          |
+| 0.8694        | 12.9975 | 2606 | 2.5415          |
+| 0.8709        | 14.0    | 2807 | 2.5418          |
+| 0.8781        | 14.9626 | 3000 | 2.5427          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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all_results.json

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+{
+    "epoch": 14.962593516209477,
+    "total_flos": 1.7621200159784305e+18,
+    "train_loss": 0.9822600702444713,
+    "train_runtime": 10311.9233,
+    "train_samples": 63494,
+    "train_samples_per_second": 13.994,
+    "train_steps_per_second": 0.291
+}

runs/Jun05_15-30-52_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1717569090.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.937701.0

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train_results.json

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+{
+    "epoch": 14.962593516209477,
+    "total_flos": 1.7621200159784305e+18,
+    "train_loss": 0.9822600702444713,
+    "train_runtime": 10311.9233,
+    "train_samples": 63494,
+    "train_samples_per_second": 13.994,
+    "train_steps_per_second": 0.291
+}