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gemma_2b_social_reasoning_reward_model
DarshanDeshpande/gemma_2b_social_reasoning_reward_model
gemma_2b_social_reasoning_reward_model is a machine learning model from DarshanDeshpande. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 7, 2024
- Updated
- Mar 10, 2024
- SHA
- ed8e34e4
Base models
Model card
From the Hugging Face model README
<!-- 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_2b_social_reasoning_reward_model
This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6131
- Accuracy: 0.6713
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7962 | 0.24 | 10 | 0.6976 | 0.6077 |
| 0.6657 | 0.48 | 20 | 0.6464 | 0.6217 |
| 0.6334 | 0.72 | 30 | 0.6330 | 0.6392 |
| 0.6434 | 0.96 | 40 | 0.6218 | 0.6427 |
| 0.5745 | 1.2 | 50 | 0.6119 | 0.6567 |
| 0.5813 | 1.44 | 60 | 0.6282 | 0.6445 |
| 0.5822 | 1.68 | 70 | 0.6350 | 0.6585 |
| 0.5914 | 1.92 | 80 | 0.6294 | 0.6550 |
| 0.5386 | 2.16 | 90 | 0.6341 | 0.6550 |
| 0.5142 | 2.4 | 100 | 0.6330 | 0.6567 |
| 0.4906 | 2.63 | 110 | 0.6313 | 0.6620 |
| 0.5079 | 2.87 | 120 | 0.6309 | 0.6637 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- other
- Created
- Mar 7, 2024
- Updated
- Mar 10, 2024