Model save

README.md

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+---
+license: gemma
+base_model: google/gemma-2-2b
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: gemma-2-2b-tulu-v2-mix-nop
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kykim0/huggingface/runs/17wc5lr3)
+# gemma-2-2b-tulu-v2-mix-nop
+
+This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5420
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- total_eval_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
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1097        | 1.0000 | 2548 | 0.9125          |
+| 0.798         | 2.0000 | 5096 | 0.6450          |
+| 0.5866        | 3.0000 | 7644 | 0.5420          |
+
+
+### Framework versions
+
+- Transformers 4.42.2
+- Pytorch 2.1.2
+- Datasets 2.14.6
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.999975471559273,
+    "total_flos": 1249712503734272.0,
+    "train_loss": 0.20236909012093338,
+    "train_runtime": 73063.4732,
+    "train_samples": 326149,
+    "train_samples_per_second": 13.392,
+    "train_steps_per_second": 0.105
+}

generation_config.json

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+{
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+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.2"
+}

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train_results.json

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