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-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-claude3sonnet-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: 2.5270
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.097         | 1.0   | 402  | 2.4839          |
+| 1.0176        | 2.0   | 804  | 2.4534          |
+| 0.9746        | 3.0   | 1206 | 2.4625          |
+| 0.9525        | 4.0   | 1608 | 2.4586          |
+| 0.9361        | 5.0   | 2010 | 2.4669          |
+| 0.9077        | 6.0   | 2412 | 2.4844          |
+| 0.896         | 7.0   | 2814 | 2.4947          |
+| 0.8858        | 8.0   | 3216 | 2.5056          |
+| 0.8811        | 9.0   | 3618 | 2.5128          |
+| 0.8634        | 10.0  | 4020 | 2.5166          |
+| 0.8758        | 11.0  | 4422 | 2.5237          |
+| 0.8644        | 12.0  | 4824 | 2.5264          |
+| 0.8641        | 13.0  | 5226 | 2.5268          |
+| 0.8607        | 14.0  | 5628 | 2.5271          |
+| 0.8609        | 15.0  | 6030 | 2.5270          |
+
+
+### 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": 15.0,
+    "total_flos": 3.5418612320488653e+18,
+    "train_loss": 0.9510796088682083,
+    "train_runtime": 20707.2957,
+    "train_samples": 126989,
+    "train_samples_per_second": 13.97,
+    "train_steps_per_second": 0.291
+}

runs/Jun05_18-23-59_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1717579596.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.939605.0

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train_results.json

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+{
+    "epoch": 15.0,
+    "total_flos": 3.5418612320488653e+18,
+    "train_loss": 0.9510796088682083,
+    "train_runtime": 20707.2957,
+    "train_samples": 126989,
+    "train_samples_per_second": 13.97,
+    "train_steps_per_second": 0.291
+}