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--- |
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license: other |
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base_model: facebook/opt-350m |
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tags: |
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- trl |
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- reward-trainer |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: my_first_reward_modeling |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# my_first_reward_modeling |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6161 |
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- Accuracy: 0.6461 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1.41e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7387 | 0.07 | 10 | 0.6877 | 0.5700 | |
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| 0.6892 | 0.14 | 20 | 0.6735 | 0.5774 | |
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| 0.6704 | 0.21 | 30 | 0.6650 | 0.5939 | |
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| 0.6579 | 0.28 | 40 | 0.6563 | 0.6003 | |
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| 0.6542 | 0.35 | 50 | 0.6483 | 0.6111 | |
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| 0.6509 | 0.42 | 60 | 0.6398 | 0.6209 | |
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| 0.64 | 0.49 | 70 | 0.6334 | 0.6301 | |
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| 0.6322 | 0.56 | 80 | 0.6291 | 0.6354 | |
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| 0.6268 | 0.63 | 90 | 0.6253 | 0.6397 | |
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| 0.6254 | 0.7 | 100 | 0.6219 | 0.6401 | |
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| 0.6213 | 0.77 | 110 | 0.6201 | 0.6436 | |
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| 0.6284 | 0.83 | 120 | 0.6170 | 0.6454 | |
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| 0.6233 | 0.9 | 130 | 0.6160 | 0.6452 | |
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| 0.6192 | 0.97 | 140 | 0.6161 | 0.6461 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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