Model save

README.md

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+---
+license: gemma
+base_model: scottsuk0306/easylm-sft-gemma-2-2b
+tags:
+- trl
+- reward-trainer
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: easylm-rm-gemma-2-2b
+  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/lklab_kaist/grm/runs/kp392ohf)
+# easylm-rm-gemma-2-2b
+
+This model is a fine-tuned version of [scottsuk0306/easylm-sft-gemma-2-2b](https://huggingface.co/scottsuk0306/easylm-sft-gemma-2-2b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7170
+- Accuracy: 0.6042
+
+## 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: 3e-06
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 25   | 0.6833          | 0.5417   |
+| No log        | 2.0   | 50   | 1.2481          | 0.5625   |
+| No log        | 3.0   | 75   | 1.7170          | 0.6042   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 0.0,
+    "train_loss": 0.5482939656575521,
+    "train_runtime": 190.4657,
+    "train_samples": 100,
+    "train_samples_per_second": 1.575,
+    "train_steps_per_second": 0.394
+}

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