End of training

README.md

@@ -0,0 +1,59 @@
+---
+license: other
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-7b
+model-index:
+- name: Gemma-7B-Finetuning-JCS
+  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. -->
+
+# Gemma-7B-Finetuning-JCS
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 60
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

wandb/debug-internal.log

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wandb/debug.log

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wandb/run-20240226_101059-z4vsrt4l/files/config.yaml

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wandb/run-20240226_101059-z4vsrt4l/logs/debug-internal.log

@@ -359,3 +359,29 @@
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wandb/run-20240226_101059-z4vsrt4l/logs/debug.log

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+2024-02-26 10:21:50,550 INFO    MainThread:149 [wandb_init.py:_pause_backend():437] pausing backend
+2024-02-26 10:21:58,558 INFO    MainThread:149 [wandb_init.py:_resume_backend():442] resuming backend